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Book Classical and Modern Direction of Arrival Estimation

Download or read book Classical and Modern Direction of Arrival Estimation written by T. Engin Tuncer and published by Academic Press. This book was released on 2009-07-10 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical and Modern Direction of Arrival Estimation contains both theory and practice of direction finding by the leading researchers in the field. This unique blend of techniques used in commercial DF systems and state-of-the art super-resolution methods is a valuable source of information for both practicing engineers and researchers. Key topics covered are: - Classical methods of direction finding - Practical DF methods used in commercial systems - Calibration in antenna arrays - Array mapping, fast algorithms and wideband processing - Spatial time-frequency distributions for DOA estimation - DOA estimation in threshold region - Higher order statistics for DOA estimation - Localization in sensor networks and direct position estimation - Brings together in one book classical and modern DOA techniques, showing the connections between them - Contains contributions from the leading people in the field - Gives a concise and easy- to- read introduction to the classical techniques - Evaluates the strengths and weaknesses of key super-resolution techniques - Includes applications to sensor networks

Book High Resolution Direction of Arrival Estimation Analysis and Implementation in a Smart Antenna System

Download or read book High Resolution Direction of Arrival Estimation Analysis and Implementation in a Smart Antenna System written by Ahmed Khallaayoun and published by . This book was released on 2010 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this research is to equip the smart antenna system designed by the telecommunication group at the department of Electrical and Computer Engineering at Montana State University with high resolution direction of arrival estimation (DOA) capabilities; the DOA block should provide accurate estimates of emitters' DOAs while being computationally efficient. Intensive study on DOA estimation algorithms was carried out to pinpoint the most suitable algorithm for the application of interest, and the spectral methods were chosen for this study. The outcome of the study consisted of generating a novel algorithm, spatial selective MUSIC, which is comparable in accuracy to other high resolution algorithms but does not require the intensive computational burden that is typical of high resolution spectral methods. Spatial selective MUSIC is compared in terms of bias, resolution, robustness and computational efficiency against the most widely used DOA estimation algorithms, namely, Bartlett, Capon, MUSIC, and beamspace MUSIC. The design, troubleshooting, and implementation of the hardware needed to implement the DOA estimation in a real case scenario was achieved. Two design phases were necessary to implement the center piece of the hardware needed to achieve DOA estimation. The 5.8 GHz 8 channel receiver board along with a casing that egg crates the RF channels for channel-to-channel isolation was designed and built. A National Instrument data acquisition card was used to simultaneously sample all the 8 channels at 2.5 MSPS, the data was processed using the PC interface built in LabView. Phase calibration that accounts for the overall system magnitude and phase differences along with a novel calibration method to mitigate the effects of magnitude and phase variations along with mutual coupling was produced during this research and was imperative to achieving high resolution DOA estimation in the lab. The DOA estimation capabilities of the built system was tested within the overall smart antenna system and showed promising results. The overall performance enhancement that the DOA estimation block can provide cannot however be fully realized until the beamforming block is revised to provide accurate and deep null placing along with a narrower beam width. This cannot be achieved with the current system due to limitations in the number of the array elements used and the granularity in the phase shifters and attenuators used in the analog beamformer.

Book Introduction to Direction of Arrival Estimation

Download or read book Introduction to Direction of Arrival Estimation written by Zhizhang Chen and published by Artech House. This book was released on 2010 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Direction-of-Arrival (DOA) estimation concerns the estimation of direction finding signals in the form of electromagnetic or acoustic waves, impinging on a sensor or antenna array. DOA estimation is used for locating and tracking signal sources in both civilian and military applications. This authoritative volume provides an overview and performance analysis of the basic DOA algorithms, including comparisons between the various types.The book offers you a detailed understanding of the arrays pertinent to DOA finding, and presents a detailed illustration of the ESPRIT-based DOA algorithms complete with their performance assessments. From antennas and array receiving systems, to advanced topics on DOA estimation, this book serves as a one-stop resource for professionals and students. Nearly 100 illustrations and more than 281 equations support key topics throughout.

Book High resolution Direction of Arrival Estimation

Download or read book High resolution Direction of Arrival Estimation written by Murdifi Bin Muhammad and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Novel Neural Network Based Direction of Arrival Estimation Algorithm

Download or read book A Novel Neural Network Based Direction of Arrival Estimation Algorithm written by Selcuk Caylar and published by LAP Lambert Academic Publishing. This book was released on 2009-10 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Direction of Arrival Estimation (DoA) is one of the major problems for many applications such as radar, navigation, mobile communications, electronic warfare systems, sonar and seismology. In the previous decade some powerfull and high-resolution methods for DoA estimation such as MUSIC and ESPRIT had already been developed. However, these conventional methods were having some drawbacks such as the number of arriving sources must be less than the number of antenna array elements and a accuracy degradation of DoA estimation under low SNR. Therefore they were not able to meet real-time requirements. Rapid growth in wireless communication accelerated the demand for DoA estimation. NN based DoA estimation algorithms have been developed to overcome the drawbacks of conventional methods and respond the demand. This book provides an overview on neural network DoA algorithms and proposes a novel algorithm. The potential applications of the proposed algorithm are discussed and consequences of simulations are provided. This book is inducing a useful, accurate and efficient algorithm for anyone who is interested in direction finding.

Book Narrowband Direction of Arrival Estimation for Antenna Arrays

Download or read book Narrowband Direction of Arrival Estimation for Antenna Arrays written by Jeffrey Foutz and published by Morgan & Claypool Publishers. This book was released on 2008 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to narrowband array signal processing, classical and subspace-based direction of arrival (DOA) estimation with an extensive discussion on adaptive direction of arrival algorithms. The book begins with a presentation of the basic theory, equations, and data models of narrowband arrays. It then discusses basic beamforming methods and describes how they relate to DOA estimation. Several of the most common classical and subspace-based direction of arrival methods are discussed. The book concludes with an introduction to subspace tracking and shows how subspace tracking algorithms can be used to form an adaptive DOA estimator. Simulation software and additional bibliography are given at the end of the book.

Book Characterization and Calibration of Antenna Arrays for High Resolution Direction of Arrival Estimation

Download or read book Characterization and Calibration of Antenna Arrays for High Resolution Direction of Arrival Estimation written by Michael Anthony Koerber and published by . This book was released on 1992 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Direction of arrival Estimation of Wideband Sources Using Sensor Arrays

Download or read book Direction of arrival Estimation of Wideband Sources Using Sensor Arrays written by Yeo-Sun Yoon and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor arrays are used in many applications where their ability to localize signal sources is essential. For many applications, it is necessary to estimate the direction-of-arrival (DOA) of target sources. Although there are many DOA estimation methods available, most of them are valid only for narrowband signals where time delay can be approximated as a phase shift. This thesis focuses on DOA estimation algorithms for wideband sources. Specifically, this thesis proposes the pruned fast beamformer which can reduce the number of computations of Delay-and-Sum (DS) beamforming by using a multi-resolution structure. For high resolution methods, signal subspace methods are required. Most of the subspace techniques for wideband signals decompose the received wideband signals into several bands of narrowband signals through bandpass filtering. Then, there are two different ways of processing decomposed signals. The incoherent methods process each band independently by a given narrowband method and average the results. The coherent methods attempt to modulate the signals in each band so that they can be combined coherently. In this thesis, a new DOA estimator, which is called TOPS, is developed to avoid disadvantages of both the incoherent and the coherent methods. The new method which can be categorized as a non-coherent method is tested and compared with other methods. It exhibits many desirable features for a number of applications where the sources are wideband such as acoustic direction finding.

Book Direction of Arrival Estimation and Tracking with Sparse Arrays

Download or read book Direction of Arrival Estimation and Tracking with Sparse Arrays written by Jian Feng Gu and published by . This book was released on 2014 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Direction of Arrival (DOA) estimation and tracking of a plane wave or multiple plane waves impinging on an array of sensors from noisy data are two of the most important tasks in array signal processing, which have attracted tremendous research interest over the past several decades. It is well-known that the estimation accuracy, angular resolution, tracking capacity, computational complexity, and hardware implementation cost of a DOA estimation and/or tracking technique depend largely on the array geometry. Large arrays with many sensors provide accurate DOA estimation and perfect target tracking, but they usually suffer from a high cost for hardware implementation. Sparse arrays can yield similar DOA estimates and tracking performance with fewer elements for the same-size array aperture as compared to the traditional uniform arrays. In addition, the signals of interest may have rich temporal information that can be exploited to effectively eliminate background noise and significantly improve the performance and capacity of DOA estimation and tracking, and/or even dramatically reduce the computational burden of estimation and tracking algorithms. Therefore, this thesis aims to provide some solutions to improving the DOA estimation and tracking performance by designing sparse arrays and exploiting prior knowledge of the incident signals such as AR modeled sources and known waveforms. First, we design two sparse linear arrays to efficiently extend the array aperture and improve the DOA estimation performance. One scheme is called minimum redundancy sparse subarrays (MRSSA), where the subarrays are used to obtain an extended correlation matrix according to the principle of minimum redundancy linear array (MRLA). The other linear array is constructed using two sparse ULAs, where the inter-sensor spacing within the same ULA is much larger than half wavelength. Moreover, we propose a 2-D DOA estimation method based on sparse L-shaped arrays, where the signal subspace is selected from the noise-free correlation matrix without requiring the eigen-decomposition to estimate the elevation angle, while the azimuth angles are estimated based on the modified total least squares (TLS) technique. Second, we develop two DOA estimation and tracking methods for autoregressive (AR) modeled signal source using sparse linear arrays together with Kalman filter and LS-based techniques. The proposed methods consist of two common stages: in the first stage, the sources modeled by AR processes are estimated by the celebrated Kalman filter and in the second stage, the efficient LS or TLS techniques are employed to estimate the DOAs and AR coefficients simultaneously. The AR-modeled sources can provide useful temporal information to handle cases such as the ones, where the number of sources is larger than the number of antennas. In the first method, we exploit the symmetric array to transfer a complex-valued nonlinear problem to a real-valued linear one, which can reduce the computational complexity, while in the second method, we use the ordinary sparse arrays to provide a more accurate DOA estimation. Finally, we study the problem of estimating and tracking the direction of arrivals (DOAs) of multiple moving targets with known signal source waveforms and unknown gains in the presence of Gaussian noise using a sparse sensor array. The core idea is to consider the output of each sensor as a linear regression model, each of whose coefficients contains a pair of DOAs and gain information corresponding to one target. These coefficients are determined by solving a linear least squares problem and then updating recursively, based on a block QR decomposition recursive least squares (QRD-RLS) technique or a block regularized LS technique. It is shown that the coefficients from different sensors have the same amplitude, but variable phase information for the same signal. Then, simple algebraic manipulations and the well-known generalized least squares (GLS) are used to obtain an asymptotically-optimal DOA estimate without requiring a search over a large region of the parameter space.

Book Radar Array Processing

Download or read book Radar Array Processing written by Simon Haykin and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radar Array Processing presents modern techniques and methods for processingradar signals received by an array of antenna elements. With the recent rapid growth of the technology of hardware for digital signal processing, itis now possible to apply this to radar signals and thus to enlist the full power of sophisticated computational algorithms. Topics covered in detail here include: super-resolution methods of array signal processing as applied to radar, adaptive beam forming for radar, and radar imaging. This book will be of interest to researchers and studentsin the radar community and also in related fields such as sonar, seismology, acoustics and radio astronomy.

Book High Resolution and Robust Signal Processing

Download or read book High Resolution and Robust Signal Processing written by Yingbo Hua and published by CRC Press. This book was released on 2017-12-19 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Resolution and Robust Signal Processing describes key methodological and theoretical advances achieved in this domain over the last twenty years, placing emphasis on modern developments and recent research pursuits. Applications-grounded, this sophisticated resource links theoretical background with high-resolution methods used in wireless communications, brain signal analysis, and space-time radar signal processing. Chapter extras include theorem proofs, derivations, and computational shortcuts, as well as open problems, numerical measurement, and performance examples, and simulation results Sixteen illustrious field leaders invest High-Resolution and Robust Signal Processing with: in-depth reviews of parametric high-resolution estimation and detection techniques; robust array processing solutions for adaptive beam forming and high-resolution direction finding; Parafac techniques for high-resolution array processing and specific areas of application; high-resolution nonparametric methods and implementation tactics for spectral analysis; multidimensional high-resolution data models and discussion of R-D unitary ESPRIT with colored noise; multidimensional high-resolution parameter estimation techniques applicable to channel sounding; estimation procedures for high-resolution space-time radar signal processing using 2-D or 1-D/1-D models; and models and methods for EEG/MEG space-time dipole source estimation and sensory array design.

Book Estimation of Direction of Arrival Via Beamforming

Download or read book Estimation of Direction of Arrival Via Beamforming written by Nauman Anwar Baig and published by LAP Lambert Academic Publishing. This book was released on 2012-04 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estimating the direction of arrival is an important task in different applications including radars, sonar and communications. Due to noise and interfering sources, accurate parameter estimation is a difficult task. By using array of sensors, it is possible to mitigate the noise problems. By combining the sensors' outputs in an efficient method, array processing results in an enhancement of the signal-to-noise ratio much better than that of a single sensor's output. Multiple sensors can be used for estimating parameters of more than one signal. Using beamforming techniques, the array can steer electronically rather than looking for different sources by mechanical movement. Spatial filtering is carried out using beamforming to separate different signals having same frequency but different spatial locations. This thesis deals with different beamforming techniques for DOA estimation. High resolution techniques such as Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) which are subspace based techniques are also discussed.

Book Wireless Communications Systems

Download or read book Wireless Communications Systems written by Randy L. Haupt and published by John Wiley & Sons. This book was released on 2019-12-17 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the fundamentals of design and applications of wireless communications Wireless Communications Systems starts by explaining the fundamentals needed to understand, design, and deploy wireless communications systems. The author, a noted expert on the topic, explores the basic concepts of signals, modulation, antennas, and propagation with a MATLAB emphasis. The book emphasizes practical applications and concepts needed by wireless engineers. The author introduces applications of wireless communications and includes information on satellite communications, radio frequency identification, and offers an overview with practical insights into the topic of multiple input multiple output (MIMO). The book also explains the security and health effects of wireless systems concerns on users and designers. Designed as a practical resource, the text contains a range of examples and pictures that illustrate many different aspects of wireless technology. The book relies on MATLAB for most of the computations and graphics. This important text: Reviews the basic information needed to understand and design wireless communications systems Covers topics such as MIMO systems, adaptive antennas, direction finding, wireless security, internet of things (IoT), radio frequency identification (RFID), and software defined radio (SDR) Provides examples with a MATLAB emphasis to aid comprehension Includes an online solutions manual and video lectures on selected topics Written for students of engineering and physics and practicing engineers and scientists, Wireless Communications Systems covers the fundamentals of wireless engineering in a clear and concise manner and contains many illustrative examples.