Download or read book Signal Processing and Comunications with MATLAB Antenna Modeling and Analysis written by G. Peck and published by Createspace Independent Publishing Platform. This book was released on 2017-12-17 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB Antenna Toolbox provides functions and apps for the design, analysis, and visualization of antenna elements and arrays. You can design standalone antennas and build arrays of antennas using either predefined elements with parameterized geometry or arbitrary planar elements. Antenna Toolbox uses the method of moments (MoM) to compute port properties such as impedance, surface properties such as current and charge distribution, and field properties such as the near-field and far-field radiation pattern. You can visualize antenna geometry and analysis results in 2D and 3D. You can integrate antennas and arrays into wireless systems, and use impedance analysis to design matching networks. Antenna Toolbox provides radiation patterns for simulating beam forming and beam steering algorithms. You can generate Gerber files from your design for manufacturing printed circuit board (PCB) antennas.

Download or read book Signal Processing and Comunications with MATLAB Antenna Concepts and Computation Techniques written by G. Peck and published by Createspace Independent Publishing Platform. This book was released on 2017-12-18 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB Antenna Toolbox allows you to perform the following tasks: Rapid design and visualization of antennas using predefined or custom elements Design of arbitrary printed structures (PCB), and Gerber file generation for antenna manufacturing Design of linear, rectangular, conformal, and custom antenna arrays Large array analysis using the infinite array or embedded element pattern approach Port analysis of impedance, return loss, and S-parameters of antennas and antenna arrays Radiation field analysis of the pattern, E-H fields, and beam width of antennas, antenna arrays, and custom data Surface analysis of antenna and antenna array current, charge, and meshing

Download or read book Smart Antennas for Wireless Communications written by Frank Gross and published by McGraw Hill Professional. This book was released on 2005-10-05 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart antennas boost the power of a wireless network, saving energy and money and greatly increasing the range of wireless broadband. Smart Antennas is a rigorous textbook on smart antenna design and deployment.

Download or read book Understanding LTE with MATLAB written by Houman Zarrinkoub and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to technical details related to the Physical Layer of the LTE standard with MATLAB® The LTE (Long Term Evolution) and LTE-Advanced are among the latest mobile communications standards, designed to realize the dream of a truly global, fast, all-IP-based, secure broadband mobile access technology. This book examines the Physical Layer (PHY) of the LTE standards by incorporating three conceptual elements: an overview of the theory behind key enabling technologies; a concise discussion regarding standard specifications; and the MATLAB® algorithms needed to simulate the standard. The use of MATLAB®, a widely used technical computing language, is one of the distinguishing features of this book. Through a series of MATLAB® programs, the author explores each of the enabling technologies, pedagogically synthesizes an LTE PHY system model, and evaluates system performance at each stage. Following this step-by-step process, readers will achieve deeper understanding of LTE concepts and specifications through simulations. Key Features: • Accessible, intuitive, and progressive; one of the few books to focus primarily on the modeling, simulation, and implementation of the LTE PHY standard • Includes case studies and testbenches in MATLAB®, which build knowledge gradually and incrementally until a functional specification for the LTE PHY is attained • Accompanying Web site includes all MATLAB® programs, together with PowerPoint slides and other illustrative examples Dr Houman Zarrinkoub has served as a development manager and now as a senior product manager with MathWorks, based in Massachusetts, USA. Within his 12 years at MathWorks, he has been responsible for multiple signal processing and communications software tools. Prior to MathWorks, he was a research scientist in the Wireless Group at Nortel Networks, where he contributed to multiple standardization projects for 3G mobile technologies. He has been awarded multiple patents on topics related to computer simulations. He holds a BSc degree in Electrical Engineering from McGill University and MSc and PhD degrees in Telecommunications from the Institut Nationale de la Recherche Scientifique, in Canada. www.wiley.com/go/zarrinkoub

Download or read book Antenna and EM Modeling with MATLAB Antenna Toolbox written by Sergey N. Makarov and published by John Wiley & Sons. This book was released on 2021-04-30 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: ANTENNA AND EM MODELING WITH MATLAB ANTENNA TOOLBOXTM An essential text to MATLAB Antenna ToolboxTM as accessible and easy-to-use full-wave antenna modeling tool Antenna and EM Modeling with MATLAB Antenna ToolboxTM is a textbook on antennas intended for a one semester course. The core philosophy is to introduce the key antenna concepts and follow them up with full-wave modeling and optimization in the MATLAB Antenna ToolboxTM. Such an approach will enable immediate testing of theoretical concepts by experimenting in software. It also provides the direct path to research work. The fundamental families of antennas — dipoles, loops, patches, and traveling wave antennas — are discussed in detail, together with the respective antenna arrays. Using antenna parameters such as impedance, reflection coefficient, efficiency, directivity, and gain, the reader is introduced to the different ways of understanding the performance of an antenna. Written for senior undergraduates, graduates as well as RF/Antenna engineers, Antenna and EM Modeling with Antenna ToolboxTM is a resource that: Provides 14 video assisted laboratories on using Antenna ToolboxTM Includes approximately 50 real-world examples in antenna and array design Offers approximately 200 homework problems Provides multiple ready-to-use standalone MATLAB® scripts

Download or read book MATLAB Simulink for Digital Signal Processing written by Won Y. Yang and published by Won Y. Yang. This book was released on 2015-03-02 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 1: Fourier Analysis................................................................................................................... 1 1.1 CTFS, CTFT, DTFT, AND DFS/DFT....................................................................................... 1 1.2 SAMPLING THEOREM.......................................................................................................... 16 1.3 FAST FOURIER TRANSFORM (FFT)................................................................................. 19 1.3.1 Decimation-in-Time (DIT) FFT..................................................................................... 19 1.3.2 Decimation-in-Frequency (DIF) FFT............................................................................ 22 1.3.3 Computation of IDFT Using FFT Algorithm................................................................ 23 1.4 INTERPRETATION OF DFT RESULTS............................................................................. 23 1.5 EFFECTS OF SIGNAL OPERATIONS ON DFT SPECTRUM....................................... 31 1.6 SHORT-TIME FOURIER TRANSFORM - STFT.............................................................. 32 Chapter 2: System Function, Impulse Response, and Frequency Response........................ 51 2.1 THE INPUT-OUTPUT RELATIONSHIP OF A DISCRETE-TIME LTI SYSTEM..... 52 2.1.1 Convolution...................................................................................................................... 52 2.1.2 System Function and Frequency Response................................................................... 54 2.1.3 Time Response................................................................................................................. 55 2.2 COMPUTATION OF LINEAR CONVOLUTION USING DFT...................................... 55 2.3 PHYSICAL MEANING OF SYSTEM FUNCTION AND FREQUENCY RESPONSE 58 Chapter 3: Correlation and Power Spectrum................................................................ 73 3.1 CORRELATION SEQUENCE................................................................................................ 73 3.1.1 Crosscorrelation............................................................................................................... 73 3.1.2 Autocorrelation.............................................................................................................. 76 3.1.3 Matched Filter................................................................................................................ 80 3.2 POWER SPECTRAL DENSITY (PSD)................................................................................. 83 3.2.1 Periodogram PSD Estimator........................................................................................... 84 3.2.2 Correlogram PSD Estimator......................................................................................... 85 3.2.3 Physical Meaning of Periodogram............................................................................... 85 3.3 POWER SPECTRUM, FREQUENCY RESPONSE, AND COHERENCE..................... 89 3.3.1 PSD and Frequency Response........................................................................................ 90 3.3.2 PSD and Coherence....................................................................................................... 91 3.4 COMPUTATION OF CORRELATION USING DFT ...................................................... 94 Chapter 4: Digital Filter Structure................................................................................ 99 4.1 INTRODUCTION...................................................................................................................... 99 4.2 DIRECT STRUCTURE ........................................................................................................ 101 4.2.1 Cascade Form................................................................................................................ 102 4.2.2 Parallel Form............................................................................................................... 102 4.3 LATTICE STRUCTURE ..................................................................................................... 104 4.3.1 Recursive Lattice Form................................................................................................. 106 4.3.2 Nonrecursive Lattice Form........................................................................................... 112 4.4 LINEAR-PHASE FIR STRUCTURE ................................................................................ 114 4.4.1 FIR Filter with Symmetric Coefficients...................................................................... 115 4.4.2 FIR Filter with Anti-Symmetric Coefficients........................................................... 115 4.5 FREQUENCY-SAMPLING (FRS) STRUCTURE .......................................................... 118 4.5.1 Recursive FRS Form..................................................................................................... 118 4.5.2 Nonrecursive FRS Form............................................................................................. 124 4.6 FILTER STRUCTURES IN MATLAB ............................................................................. 126 4.7 SUMMARY ............................................................................................................................ 130 Chapter 5: Filter Design.............................................................................................. 137 5.1 ANALOG FILTER DESIGN................................................................................................. 137 5.2 DISCRETIZATION OF ANALOG FILTER.................................................................... 145 5.2.1 Impulse-Invariant Transformation............................................................................. 145 5.2.2 Step-Invariant Transformation - Z.O.H. (Zero-Order-Hold) Equivalent .............. 146 5.2.3 Bilinear Transformation (BLT).................................................................................. 147 5.3 DIGITAL FILTER DESIGN................................................................................................. 150 5.3.1 IIR Filter Design............................................................................................................ 151 5.3.2 FIR Filter Design......................................................................................................... 160 5.4 FDATOOL................................................................................................................................ 171 5.4.1 Importing/Exporting a Filter Design Object................................................................ 172 5.4.2 Filter Structure Conversion........................................................................................ 174 5.5 FINITE WORDLENGTH EFFECT..................................................................................... 180 5.5.1 Quantization Error......................................................................................................... 180 5.5.2 Coefficient Quantization............................................................................................. 182 5.5.3 Limit Cycle.................................................................................................................. 185 5.6 FILTER DESIGN TOOLBOX ............................................................................................ 193 Chapter 6: Spectral Estimation................................................................................... 205 6.1 CLASSICAL SPECTRAL ESTIMATION.......................................................................... 205 6.1.1 Correlogram PSD Estimator......................................................................................... 205 6.1.2 Periodogram PSD Estimator....................................................................................... 206 6.2 MODERN SPECTRAL ESTIMATION ............................................................................ 208 6.2.1 FIR Wiener Filter........................................................................................................ 208 6.2.2 Prediction Error and White Noise.............................................................................. 212 6.2.3 Levinson Algorithm.................................................................................................... 214 6.2.4 Burg Algorithm........................................................................................................... 217 6.2.5 Various Modern Spectral Estimation Methods......................................................... 219 6.3 SPTOOL .................................................................................................................................. 224 Chapter 7: DoA Estimation......................................................................................... 241 7.1 BEAMFORMING AND NULL STEERING...................................................................... 244 7.1.1 Beamforming................................................................................................................. 244 7.1.2 Null Steering................................................................................................................ 248 7.2 CONVENTIONAL METHODS FOR DOA ESTIATION................................................ 250 7.2.1 Delay-and-Sum (or Fourier) Method - Classical Beamformer.................................. 250 7.2.2 Capon's Minimum Variance Method......................................................................... 252 7.3 SUBSPACE METHODS FOR DOA ESTIATION............................................................ 253 7.3.1 MUSIC (MUltiple SIgnal Classification) Algorithm................................................. 253 7.3.2 Root-MUSIC Algorithm............................................................................................. 254 7.3.3 ESPRIT Algorithm...................................................................................................... 256 7.4 SPATIAL SMOOTHING TECHNIQUES ........................................................................ 258 Chapter 8: Kalman Filter and Wiener Filter............................................................. 267 8.1 DISCRETE-TIME KALMAN FILTER.............................................................................. 267 8.1.1 Conditional Expectation/Covariance of Jointly Gaussian Random Vectors............. 267 8.1.2 Stochastic Statistic Observer...................................................................................... 270 8.1.3 Kalman Filter for Nonstandard Cases........................................................................ 276 8.1.4 Extended Kalman Filter (EKF).................................................................................. 286 8.1.5 Unscented Kalman Filter (UKF)................................................................................ 288 8.2 DISCRETE-TIME WIENER FILTER .............................................................................. 291 Chapter 9: Adaptive Filter.......................................................................................... 301 9.1 OPTIMAL FIR FILTER........................................................................................................ 301 9.1.1 Least Squares Method................................................................................................... 302 9.1.2 Least Mean Squares Method...................................................................................... 304 9.2 ADAPTIVE FILTER ............................................................................................................ 306 9.2.1 Gradient Search Approach - LMS Method.................................................................. 306 9.2.2 Modified Versions of LMS Method........................................................................... 310 9.3 MORE EXAMPLES OF ADAPTIVE FILTER ............................................................... 316 9.4 RECURSIVE LEAST-SQUARES ESTIMATION .......................................................... 320 Chapter 10: Multi-Rate Signal Processing and Wavelet Transform............................ 329 10.1 MULTIRATE FILTER........................................................................................................ 329 10.1.1 Decimation and Interpolation..................................................................................... 330 10.1.2 Sampling Rate Conversion....................................................................................... 334 10.1.3 Decimator/Interpolator Polyphase Filters................................................................ 335 10.1.4 Multistage Filters........................................................................................................ 339 10.1.5 Nyquist (M) Filters and Half-Band Filters.............................................................. 348 10.2 TWO-CHANNEL FILTER BANK ................................................................................... 351 10.2.1 Two-Channel SBC (SubBand Coding) Filter Bank.................................................. 351 10.2.2 Standard QMF (Quadrature Mirror Filter) Bank.................................................... 352 10.2.3 PR (Perfect Reconstruction) Conditions.................................................................. 353 10.2.4 CQF (Conjugate Quadrature Filter) Bank................................................................. 354 10.3 M-CHANNEL FILTER BANK ......................................................................................... 358 10.3.1 Complex-Modulated Filter Bank (DFT Filter Bank)................................................ 359 10.3.2 Cosine-Modulated Filter Bank................................................................................. 363 10.3.3 Dyadic (Octave) Filter Bank.................................................................................... 366 10.4 WAVELET TRANSFORM ............................................................................................... 369 10.4.1 Generalized Signal Transform................................................................................... 369 10.4.2 Multi-Resolution Signal Analysis............................................................................ 371 10.4.3 Filter Bank and Wavelet........................................................................................... 374 10.4.4 Properties of Wavelets and Scaling Functions.......................................................... 378 10.4.5 Wavelet, Scaling Function, and DWT Filters......................................................... 379 10.4.6 Wavemenu Toolbox and Examples of DWT.......................................................... 382 Chapter 11: Two-Dimensional Filtering...................................................................... 401 11.1 DIGITAL IMAGE TRANSFORM..................................................................................... 401 11.1.1 2-D DFT (Discrete Fourier Transform)..................................................................... 401 11.1.2 2-D DCT (Discrete Cosine Transform)................................................................... 402 11.1.3 2-D DWT (Discrete Wavelet Transform)................................................................ 404 11.2 DIGITAL IMAGE FILTERING ....................................................................................... 411 11.2.1 2-D Filtering................................................................................................................ 411 11.2.2 2-D Correlation......................................................................................................... 412 11.2.3 2-D Wiener Filter...................................................................................................... 412 11.2.4 Smoothing Using LPF or Median Filter.................................................................... 413 11.2.5 Sharpening Using HPF or Gradient/Laplacian-Based Filter.................................. 414

Download or read book Signal Processing in MATLAB Design and Simulate Phased Array Signal Processing Systems written by A. Smith and published by Createspace Independent Publishing Platform. This book was released on 2017-12-29 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phased Array System Toolbox provides algorithms and apps for the design, simulation, and analysis of sensor array systems in radar, wireless communications, sonar, and medical imaging applications. You can design end-to-end phased array systems and analyze their performance under different scenarios using synthetic or acquired data. Toolbox apps let you explore the characteristics of sensor arrays and waveforms and perform link budget analysis. In-product examples provide a starting point for implementing a full range of custom phased array systems. For radar and sonar system design, the toolbox lets you model the dynamics of ground-based, airborne, ship-borne, or submarine multifunction systems with moving targets and platforms. It includes pulsed and continuous waveforms and signal processing algorithms for beamforming, matched filtering, direction of arrival (DOA) estimation, and target detection. The toolbox also includes models for transmitters and receivers, propagation channels, targets, jammers, and clutter. For 5G, LTE, and WLAN wireless communications system design, the toolbox enables you to incorporate antenna arrays and beamforming algorithms into system-level simulation models. It includes capabilities for designing and analyzing array geometries and subarray configurations, and provides array processing algorithms for beamforming and DOA estimation. Toolbox algorithms are available as MATLAB System objects and Simulink blocks.

Download or read book Models and Analysis of Antenna Array Signal Processing Systems written by Keith F. McDonald and published by . This book was released on 1999 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Man made interference, which is typically non-Gaussian, is another major source of performance degradation. Just as it is typical to assume that the covariance matrix of the surrounding range cells exactly matches that of the test cell, the non-Gaussian component of the interference is usually ignored in the analysis and design of adaptive radar and communication systems. To address this issue, a statistical noise model is developed in this dissertation from mathematical modeling of the physical mechanisms that generate interference and noise in receivers employing antenna arrays. Such models have been lacking for cases where the antenna observations may be statistically dependent from antenna to antenna. The model derived here is applicable to a wide variety of practical situations. It is both canonical in form and computationally manageable.

Download or read book Antenna Arrays written by Randy L. Haupt and published by John Wiley & Sons. This book was released on 2010-09-09 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive tutorial on the design and practical applications of antenna arrays An antenna array is an assembly of antenna elements that maximizes a received or transmitted signal in a desired direction. This practical book covers a wide range of antenna array topics that are becoming increasingly important in wireless applications, with emphasis on array design, applications, and computer modeling. Each chapter in Antenna Arrays builds upon the previous chapter, progressively addressing more difficult material. Beginning with basic electromagnetics/antennas/antenna systems information, the book then deals with the analysis and synthesis of arrays of point sources and their associated array factors. It presents a sampling of different antenna elements that replace these point sources, then presents element configurations that do not have to lie along a line or in a plane. The complex and difficult-to-predict interactions of elements and electromagnetic waves are introduced, along with computer modeling and experiments that are necessary for predicting the performance of arrays where mutual coupling is important. Then, various approaches to getting signals to and from the array elements to a computer where the signal detection takes place are explored, as are the numerical techniques behind smart antennas. The book emphasizes the computational methods used in the design and analysis of array antennas. Also featured are signal processing and numerical modeling algorithms, as well as pictures of antenna arrays and components provided by industry and government sources, with explanations of how they operate. Fully course-tested, Antenna Arrays serves as a complete text in phased array design and theory for advanced undergraduate- and graduate-level courses in electronics and communications, as well as a reference for practicing engineers and scientists in wireless communications, radar, and remote sensing.

Download or read book Digital Signal Processing for Wireless Communication using Matlab written by E.S. Gopi and published by Springer Nature. This book was released on 2021-10-21 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying wireless system model, and detection and estimation theory used in wireless communication. The book also covers recent wireless techniques like OFDM, massive MIMO techniques, non-orthogonal multiple access, millimeter wave MIMO, full duplex, cognitive radio, co-operating communication, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless communication.

Download or read book MATLAB Simulink for Digital Communication written by Won Y. Yang and published by Won Y. Yang. This book was released on 2018-03-02 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 1: Fourier Analysis 1 1.1 CONTINUOUS-TIME FOURIER SERIES (CTFS)................................................................... 2 1.2 PROPERTIES OF CTFS............................................................................................................... 6 1.2.1 Time-Shifting Property....................................................................................................... 6 1.2.2 Frequency-Shifting Property ............................................................................................ 6 1.2.3 Modulation Property......................................................................................................... 6 1.3 CONTINUOUS-TIME FOURIER TRANSFORM (CTFT)....................................................... 7 1.4 PROPERTIES OF CTFT............................................................................................................. 13 1.4.1 Linearity............................................................................................................................ 13 1.4.2 Conjugate Symmetry........................................................................................................ 13 1.4.3 Real Translation (Time Shifting) and Complex Translation (Frequency Shifting)..... 14 1.4.4 Real Convolution and Correlation................................................................................... 14 1.4.5 Complex Convolution – Modulation/Windowing.......................................................... 14 1.4.6 Duality............................................................................................................................... 17 1.4.7 Parseval Relation - Power Theorem................................................................................ 18 1.5 DISCRETE-TIME FOURIER TRANSFORM (DTFT)............................................................ 18 1.6 DISCRETE-TIME FOURIER SERIES - DFS/DFT.................................................................. 19 1.7 SAMPLING THEOREM............................................................................................................. 21 1.7.1 Relationship between CTFS and DFS ........................................................................... 21 1.7.2 Relationship between CTFT and DTFT.......................................................................... 27 1.7.3 Sampling Theorem............................................................................................................ 27 1.8 POWER, ENERGY, AND CORRELATION............................................................................ 29 1.9 LOWPASS EQUIVALENT OF BANDPASS SIGNALS........................................................ 30 Chapter 2: PROBABILITY AND RANDOM PROCESSES 39 2.1 PROBABILITY........................................................................................................................... 39 2.1.1 Definition of Probability................................................................................................. 39 2.1.2 Joint Probability and Conditional Probability............................................................... 40 2.1.3 Probability Distribution/Density Function..................................................................... 41 2.1.4 Joint Probability Density Function................................................................................. 41 2.1.5 Condtional Probability Density Function...................................................................... 41 2.1.6 Independence................................................................................................................... 41 2.1.7 Function of a Random Variable...................................................................................... 42 2.1.8 Expectation, Covariance, and Correlation..................................................................... 43 2.1.9 Conditional Expectation.................................................................................................. 47 2.1.10 Central Limit Theorem - Normal Convergence Theorem............................................. 47 2.1.11 Random Processes............................................................................................................ 49 2.1.12 Stationary Processes and Ergodic Processes.................................................................. 51 2.1.13 Power Spectral Density (PSD)......................................................................................... 53 2.1.14 White Noise and Colored Noise...................................................................................... 53 2.2 LINEAR FILTERING OF A RANDOM PROCESS................................................................ 57 2.3 PSD OF A RANDOM PROCESS.............................................................................................. 58 2.4 FADING EFFECT OF A MULTIPATH CHANNEL............................................................... 58 Chapter 3: ANALOG MODULATION 71 3.1 AMPLITUDE MODULATION (AM)....................................................................................... 71 3.1.1 DSB (Double Sideband)-AM (Amplitude Modulation)............................................... 71 3.1.2 Conventional AM (Amplitude Modulation)................................................................ 75 3.1.3 SSB (Single Sideband)-AM(Amplitude Modulation)................................................. 78 3.2 ANGLE MODULATION (AGM) - FREQUENCY/PHASE MODULATIONS .................. 82 Chapter 4: ANALOG-TO-DIGITAL CONVERSION 87 4.1 QUANTIZATION........................................................................................................................ 87 4.1.1 Uniform Quantization..................................................................................................... 88 4.1.2 Non-uniform Quantization.............................................................................................. 89 4.1.3 Non-uniform Quantization Considering the Absolute Errors .................................... 91 4.2 Pulse Code Modulation (PCM)................................................................................................... 95 4.3 Differential Pulse Code Modulation (DPCM)........................................................................... 97 4.4 Delta Modulation (DM)............................................................................................................. 100 Chapter 5: BASEBAND TRANSMISSION 107 5.1 RECEIVER (RCVR) and SNR ............................................................................................... 107 5.1.1 Receiver of RC Filter Type.......................................................................................... 109 5.1.2 Receiver of Matched Filter Type................................................................................. 110 5.1.3 Signal Correlator........................................................................................................... 112 5.2 PROBABILITY OF ERROR WITH SIGNALING................................................................ 114 5.2.1 Antipodal (Bipolar) Signaling...................................................................................... 114 5.2.2 On-Off Keying (OOK)/Unipolar Signaling................................................................. 118 5.2.3 Orthogonal Signaling.................................................................................................... 119 5.2.4 Signal Constellation Diagram...................................................................................... 121 5.2.5 Simulation of Binary Communication......................................................................... 123 5.2.6 Multi-Level(amplitude) PAM Signaling..................................................................... 127 5.2.7 Multi-Dimensional Signaling....................................................................................... 129 5.2.8 Bi-Orthogonal Signaling............................................................................................... 133 Chapter 6: BANDLIMITED CHANNEL AND EQUALIZER 139 6.1 BANDLIMITED CHANNEL................................................................................................... 139 6.1.1 Nyquist Bandwidth........................................................................................................ 139 6.1.2 Raised-Cosine Frequency Response............................................................................ 141 6.1.3 Partial Respone Signaling - Duobinary Signaling...................................................... 143 6.2 EQUALIZER............................................................................................................................. 148 6.2.1 Zero-Forcing Equalizer (ZFE)...................................................................................... 148 6.2.2 MMSE Equalizer (MMSEE)........................................................................................ 151 6.2.3 Adaptive Equalizer (ADE)........................................................................................... 154 6.2.4 Decision Feedback Equalizer (DFE)............................................................................ 155 Chapter 7: BANDPASS TRANSMISSION 169 7.1 AMPLITUDE SHIFT KEYING (ASK)................................................................................... 169 7.2 FREQUENCY SHIFT KEYING (FSK)................................................................................... 178 7.3 PHASE SHIFT KEYING (PSK)............................................................................................... 187 7.4 DIFFERENTIAL PHASE SHIFT KEYING (DPSK)............................................................. 190 7.5 QUADRATURE AMPLITUDE MODULATION (QAM).................................................... 195 7.6 COMPARISON OF VARIOUS SIGNALINGS...................................................................... 200 Chapter 8: CARRIER RECOVERY AND SYMBOL SYNCHRONIZATION 227 8.1 INTRODUCTION..................................................................................................................... 227 8.2 PLL (PHSE-LOCKED LOOP)................................................................................................. 228 8.3 ESTIMATION OF CARRIER PHASE USING PLL............................................................. 233 8.4 CARRIER PHASE RECOVERY............................................................................................. 235 8.4.1 Carrier Phase Recovery Using a Squaring Loop for BPSK Signals.......................... 235 8.4.2 Carrier Phase Recovery Using Costas Loop for PSK Signals.................................... 237 8.4.3 Carrier Phase Recovery for QAM Signals.................................................................. 240 8.5 SYMBOL SYNCHRONIZATION (TIMING RECOVERY)................................................ 243 8.5.1 Early-Late Gate Timing Recovery for BPSK Signals................................................ 243 8.5.2 NDA-ELD Synchronizer for PSK Signals.................................................................. 246 Chapter 9: INFORMATION AND CODING 257 9.1 MEASURE OF INFORMATION - ENTROPY...................................................................... 257 9.2 SOURCE CODING................................................................................................................... 259 9.2.1 Huffman Coding............................................................................................................ 259 9.2.2 Lempel-Zip-Welch Coding........................................................................................... 262 9.2.3 Source Coding vs. Channel Coding............................................................................. 265 9.3 CHANNEL MODEL AND CHANNEL CAPACITY............................................................ 266 9.4 CHANNEL CODING................................................................................................................ 271 9.4.1 Waveform Coding......................................................................................................... 272 9.4.2 Linear Block Coding..................................................................................................... 273 9.4.3 Cyclic Coding................................................................................................................ 282 9.4.4 Convolutional Coding and Viterbi Decoding.............................................................. 287 9.4.5 Trellis-Coded Modulation (TCM)................................................................................ 296 9.4.6 Turbo Coding................................................................................................................. 300 9.4.7 Low-Density Parity-Check (LDPC) Coding............................................................... 311 9.4.8 Differential Space-Time Block Coding (DSTBC)...................................................... 316 9.5 CODING GAIN ....................................................................................................................... 319 Chapter 10: SPREAD-SPECTRUM SYSTEM 339 10.1 PN (Pseudo Noise) Sequence..................................................................................................... 339 10.2 DS-SS (Direct Sequence Spread Spectrum)............................................................................. 347 10.3 FH-SS (Frequency Hopping Spread Spectrum)........................................................................ 352 Chapter 11: OFDM SYSTEM 359 11.1 OVERVIEW OF OFDM......................................................................................................... 359 11.2 FREQUENCY BAND AND BANDWIDTH EFFICIENCY OF OFDM............................ 363 11.3 CARRIER RECOVERY AND SYMBOL SYNCHRONIZATION.......................................... 364 11.4 CHANNEL ESTIMATION AND EQUALIZATION.......................................................... 381 11.5 INTERLEAVING AND DEINTERLEAVING..................................................................... 384 11.6 PUNCTURING AND DEPUNCTURING............................................................................ 386 11.7 IEEE STANDARD 802.11A - 1999....................................................................................... 388

Download or read book Signal Processing for Communications written by Paolo Prandoni and published by Collection Savoir suisse. This book was released on 2008-06-17 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel.

Download or read book MIMO OFDM Wireless Communications with MATLAB written by Yong Soo Cho and published by John Wiley & Sons. This book was released on 2010-08-20 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems. One of the only books in the area dedicated to explaining simulation aspects Covers implementation to help cement the key concepts Uses materials that have been classroom-tested in numerous universities Provides the analytic solutions and practical examples with downloadable MATLAB® codes Simulation examples based on actual industry and research projects Presentation slides with key equations and figures for instructor use MIMO-OFDM Wireless Communications with MATLAB® is a key text for graduate students in wireless communications. Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM techniques. Instructor materials and MATLAB® code examples available for download at www.wiley.com/go/chomimo

Download or read book Signal Processing in MATLAB Filter Analysis Design and Implementation written by G. Peck and published by Createspace Independent Publishing Platform. This book was released on 2017-12-22 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB DSP System Toolbox provides algorithms, apps, and scopes for designing, simulating, and analyzing signal processing systems in MATLAB and Simulink. You can model real-time DSP systems for communications, radar, audio, medical devices, IoT, and other applications. With DSP System Toolbox you can design and analyze FIR, IIR, multirate, multistage, and adaptive filters. You can stream signals from variables, data files, and network devices for system development and verification.

Download or read book Signal and System Analysis Using MATLAB written by Adnan Mohsin Abdulazeez and published by . This book was released on 2019-05-28 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal and System Analysis using MATLAB(R) is a textbook for Electronic Engineering Students and Design Engineers that introduces the main Digital Signal Processing (DSP) techniques required to perform Signal and System Analysis MATLAB(R). The primary aim of this book is to provide the analytical knowledge and practical techniques required for signal and system analysis by extensive use of the MATLAB(R) program, which is necessary for studying Digital Signal Processing to degree level and higher. The concept behind the book is to combine both the theory of Digital Signal Processing and the practical implementation of the theory using MATLAB(R). The goal is that students will gain an understanding of both the underlying theoretical concepts and how to apply them to real world problems using MATLAB(R). The chapters have been designed to enable students to develop their skills further by applying MATLAB(R) to all (50) problems, (161) examples, (290) equations and (449) figures. Worked examples of problems are shown in the book, followed by problems for students for practice. According to Fourier theory, a periodic signal can be represented by a Fourier series that contains the sum of a series of sine or cosine functions (harmonics) plus a Direct-Current (DC) term. The Continuous-Time Fourier Transform (CT-FT) can be used for non-periodic signal and is the way to express in the frequency domain a signal that is given in the time domain. The Laplace Transform is used to analyse the LTIC (Linear Time Inversion Continuous) systems and simplifies algebraic operations. The theories discussed in detail include; Continuous Time Convolution, Sampling, Quantizing, Reconstruction, Fourier analysis of Discrete-Time Signal, Discrete-Time convolution, circle convolution and the Fast Fourier Transform (FFT). The Z-Transform is an operation that transfers a discrete-time signal from the time domain (t) into the complex frequency domain (Z), and is a valuable tool in the digital signal processing field. Finally we discuss the Road to Wavelet Theory and its principles. Wavelet transform is a reversible transform, that is, it allows to go backwards and forwards between the time-domain and frequency-domain.

Download or read book Signals and Systems Using MATLAB written by Luis Chaparro and published by Academic Press. This book was released on 2018-10-29 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signals and Systems Using MATLAB, Third Edition, features a pedagogically rich and accessible approach to what can commonly be a mathematically dry subject. Historical notes and common mistakes combined with applications in controls, communications and signal processing help students understand and appreciate the usefulness of the techniques described in the text. This new edition features more end-of-chapter problems, new content on two-dimensional signal processing, and discussions on the state-of-the-art in signal processing. Introduces both continuous and discrete systems early, then studies each (separately) in-depth Contains an extensive set of worked examples and homework assignments, with applications for controls, communications, and signal processing Begins with a review on all the background math necessary to study the subject Includes MATLAB® applications in every chapter

Download or read book Antenna and EM Modeling with MATLAB Antenna Toolbox written by Sergey N. Makarov and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: ANTENNA AND EM MODELING WITH MATLAB ANTENNA TOOLBOX™ An essential text to MATLAB Antenna Toolbox™ as accessible and easy-to-use full-wave antenna modeling tool Antenna and EM Modeling with MATLAB Antenna Toolbox™ is a textbook on antennas intended for a one semester course. The core philosophy is to introduce the key antenna concepts and follow them up with full-wave modeling and optimization in the MATLAB Antenna Toolbox™. Such an approach will enable immediate testing of theoretical concepts by experimenting in software. It also provides the direct path to research work. The fundamental families of antennas — dipoles, loops, patches, and traveling wave antennas — are discussed in detail, together with the respective antenna arrays. Using antenna parameters such as impedance, reflection coefficient, efficiency, directivity, and gain, the reader is introduced to the different ways of understanding the performance of an antenna. Written for senior undergraduates, graduates as well as RF/Antenna engineers, Antenna and EM Modeling with Antenna Toolbox™ is a resource that: Provides 14 video assisted laboratories on using Antenna Toolbox™ Includes approximately 50 real-world examples in antenna and array design Offers approximately 200 homework problems Provides multiple ready-to-use standalone MATLAB® scripts