Download or read book Radar Waveform Design based on Optimization Theory written by Guolong Cui and published by SciTech Publishing. This book was released on 2020-09-09 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of radar waveform synthesis obtained as the result of computational optimization processes and covers the most challenging application fields. The book balances a practical point of view with a rigorous mathematical approach corroborated with a wealth of numerical study cases and some real experiments. Additionally, the book has a cross-disciplinary approach because it exploits cross-fertilization with the recent research and discoveries in optimization theory. The material of the book is organized into ten chapters, each one completed with a comprehensive list of references.

Download or read book Signal Design for Modern Radar Systems written by Mohammad Alaee-Kerahroodi and published by Artech House. This book was released on 2022-11-30 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives you a comprehensive overview of key optimization tools that can be used to design radar waveforms and adaptive signal processing strategies under practical constraints -- strategies such as power method-like iterations, coordinate descent, and majorization-minimization – that help you to meet the more and more stressing sensing system requirements. The book walks you through how radar waveform synthesis is obtained as the solution to a constrained optimization problem such as finite energy, unimodularity (or being constant-modulus), and finite or discrete-phase (potentially binary) alphabet, which are dictated by the practical limitations of the real systems. Several approaches in each of these broad frameworks are detailed and various applications of these optimization techniques are described. Focusing on a holistic approach rather than a problem-specific approach, the book shows you what you need to effectively formulate waveform design and understand the flexibility of the framework for adapting to your own specific needs. You’ll have full access to the tools and knowledge you need to design waveform with optimized correlation/cross-correlation properties for SISO/SIMO and MIMO radars, taking into account spectral constraints for cognitive rads, as well as coexistence with communications and mitigate possible Doppler and quantization errors, and more. The book also includes representative software codes that further help you generate the described solutions. With its unique style of covering mathematical results along with their applications from diverse areas, this is a much-needed, detailed handbook for industry researchers, scientists and designers including medical, marine, defense, and automotive companies. It is also an excellent resource for advanced courses on radar signal processing.

Download or read book Waveform Design and Diversity for Advanced Radar Systems written by Fulvio Gini and published by IET. This book was released on 2012-05-18 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to discuss current and future applications of waveform diversity and design in subjects such as radar and sonar, communications systems, passive sensing, and many other technologies. Waveform diversity allows researchers and system designers to optimize electromagnetic and acoustic systems for sensing, communications, electronic warfare or combinations thereof. It enables solutions to problems with how each system performs its own particular function as well as how it is affected by other systems and how those other systems may likewise be affected. It is an excellent standalone introduction to waveform diversity and design, which takes a high potential technology area and makes it visible to other researchers, as well as young engineers.

Download or read book Optimization Methods for Radar Waveform Design written by Linlong Wu and published by . This book was released on 2018 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Waveform Diversity Theory Applications written by S Unnikrishna Pillai and published by McGraw Hill Professional. This book was released on 2011-05-22 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cutting-edge transmitter and receiver waveform design techniques Optimum design can improve signal direction, interference, and noise suppression across various disciplines that utilize waveforms, including radar, sonar, and communications. Waveform Diversity explains the role of transmitter and receiver waveform design to boost overall performance. Written by experts in the field, this monograph covers joint transmitter receiver design, optimum design methods, constant envelope transmit signals, and sparsity-based receivers. Proven methods for mitigating noise and clutter and maximizing output signal power are included in this practical guide. Waveform Diversity covers: Waveform design and matched filtering New methods for optimum transmitter and receiver design Transmitter threshold energy and energy-bandwidth tradeoff Increasing transmit power efficiency with constant envelope transmit signals Optimum waveform design to reduce noise and clutter Discrete-time waveform design Sparsity-based receiver design methods

Download or read book Radar Array Design Using Optimization Theory written by Guolong Cui and published by . This book was released on 2024-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Signal Processing for Joint Radar Communications written by Kumar Vijay Mishra and published by John Wiley & Sons. This book was released on 2024-04-23 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Joint Radar Communications A one-stop, comprehensive source for the latest research in joint radar communications In Signal Processing for Joint Radar Communications, four eminent electrical engineers deliver a practical and informative contribution to the diffusion of newly developed joint radar communications (JRC) tools into the sensing and communications communities. This book illustrates recent successes in applying modern signal processing theories to core problems in JRC. The book offers new results on algorithms and applications of JRC from diverse perspectives, including waveform design, physical layer processing, privacy, security, hardware prototyping, resource allocation, and sampling theory. The distinguished editors bring together contributions from more than 40 leading JRC researchers working on remote sensing, electromagnetics, optimization, signal processing, and beyond 5G wireless networks. The included resources provide an in-depth mathematical treatment of relevant signal processing tools and computational methods allowing readers to take full advantage of JRC systems. Readers will also find: Thorough introductions to fundamental limits and background on JRC theory and applications, including dual-function radar communications, cooperative JRC, distributed JRC, and passive JRC Comprehensive explorations of JRC processing via waveform analyses, interference mitigation, and modeling with jamming and clutter Practical discussions of information-theoretic, optimization, and networking aspects of JRC In-depth examinations of JRC applications in cutting-edge scenarios including automotive systems, intelligent reflecting surfaces, and secure parameter estimation Perfect for researchers and professionals in the fields of radar, signal processing, communications, information theory, networking, and electronic warfare, Signal Processing for Joint Radar Communications will also earn a place in the libraries of engineers working in the defense, aerospace, wireless communications, and automotive industries.

Download or read book Waveform Design for Active Sensing Systems written by Hao He and published by Cambridge University Press. This book was released on 2012-07-12 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiodic correlations, good periodic correlations and beampattern matching. The book features various application examples of using the newly designed waveforms, including radar imaging, channel estimation for communications, an ultrasound system for breast cancer treatment and covert underwater communications. In addition to numerical results, the authors present theoretical analyses describing lower bounds or limitations of performance. Focusing on formulating practical problems mathematically and solving the mathematical problems using efficient and effective optimization techniques, the text pays particular attention to developing easy-to-use computational approaches. Most algorithms are accompanied by a table clearly detailing iteration steps and corresponding MATLAB codes are available on the companion website.

Download or read book Radar Tracking Waveform Design in Continuous Space and Optimization Selection Using Differential Evolution written by Bryan Paul and published by . This book was released on 2014 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Waveform design that allows for a wide variety of frequency-modulation (FM) has proven benefits. However, dictionary based optimization is limited and gradient search methods are often intractable. A new method is proposed using differential evolution to design waveforms with instantaneous frequencies (IFs) with cubic FM functions whose coefficients are constrained to the surface of the three dimensional unit sphere. Cubic IF functions subsume well-known IF functions such as linear, quadratic monomial, and cubic monomial IF functions. In addition, all nonlinear IF functions sufficiently approximated by a third order Taylor series over the unit time sequence can be represented in this space. Analog methods for generating polynomial IF waveforms are well established allowing for practical implementation in real world systems. By sufficiently constraining the search space to these waveforms of interest, alternative optimization methods such as differential evolution can be used to optimize tracking performance in a variety of radar environments. While simplified tracking models and finite waveform dictionaries have information theoretic results, continuous waveform design in high SNR, narrowband, cluttered environments is explored.

Download or read book Convex Optimization in Signal Processing and Communications written by Daniel P. Palomar and published by Cambridge University Press. This book was released on 2010 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading experts provide the theoretical underpinnings of the subject plus tutorials on a wide range of applications, from automatic code generation to robust broadband beamforming. Emphasis on cutting-edge research and formulating problems in convex form make this an ideal textbook for advanced graduate courses and a useful self-study guide.

Download or read book Advances in Signal Processing and Communication Engineering written by Pradip Kumar Jain and published by Springer Nature. This book was released on 2022-12-01 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select proceedings of the International Conference on Advances in Signal Processing and Communication Engineering (ICASPACE 2021). The book covers several theoretical and mathematical approaches addressing day-to-day challenges in signal, image, and speech processing and advanced communication systems. It primarily focuses on effective mathematical methods, algorithms, and models that enhance the performance of existing systems. The topics covered in the book are advances in signal processing (radar and biomedical), image processing, speech processing, technical and environmental challenges in 5G technology, and strategies for optimal utilization of resources to improve the efficacy of the communication systems in terms of bandwidth and radiating power, etc. The works published in the book will remarkably be helpful to prospective scholars, academicians, and students seeking knowledge in signal processing and communication engineering.

Download or read book Information Theoretic Radar Waveform Design for Multiple Targets written by and published by . This book was released on 2007 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we describe the optimization of an information theoretic criterion for radar waveform design. The method is used to design radar waveforms suitable for simultaneously estimating and tracking parameters of multiple targets. Our approach generalizes the information theoretic water-filling approach of Bell. The paper has two main contributions. First, a new information theoretic design criterion for designing multiple waveforms under a joint power constraint when beamforming is used both at transmitter and receiver. Then we provide a highly efficient algorithm for optimizing the transmitted waveforms, by approximating the information theoretic cost function. We show that using Lagrange relaxation the optimization problem can be decoupled into a parallel set of low-dimensional search problems at each frequency, with dimension defined by the number of targets instead of the number of frequency bands used.

Download or read book MIMO Radar Signal Processing written by Jian Li and published by John Wiley & Sons. This book was released on 2008-10-10 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to present a systematic and coherent picture of MIMO radars Due to its potential to improve target detection and discrimination capability, Multiple-Input and Multiple-Output (MIMO) radar has generated significant attention and widespread interest in academia, industry, government labs, and funding agencies. This important new work fills the need for a comprehensive treatment of this emerging field. Edited and authored by leading researchers in the field of MIMO radar research, this book introduces recent developments in the area of MIMO radar to stimulate new concepts, theories, and applications of the topic, and to foster further cross-fertilization of ideas with MIMO communications. Topical coverage includes: Adaptive MIMO radar Beampattern analysis and optimization for MIMO radar MIMO radar for target detection, parameter estimation, tracking,association, and recognition MIMO radar prototypes and measurements Space-time codes for MIMO radar Statistical MIMO radar Waveform design for MIMO radar Written in an easy-to-follow tutorial style, MIMO Radar Signal Processing serves as an excellent course book for graduate students and a valuable reference for researchers in academia and industry.

Download or read book Adaptive High Resolution Sensor Waveform Design for Tracking written by Ioannis Kyriakides and published by Morgan & Claypool Publishers. This book was released on 2010-04-04 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent innovations in modern radar for designing transmitted waveforms, coupled with new algorithms for adaptively selecting the waveform parameters at each time step, have resulted in improvements in tracking performance. Of particular interest are waveforms that can be mathematically designed to have reduced ambiguity function sidelobes, as their use can lead to an increase in the target state estimation accuracy. Moreover, adaptively positioning the sidelobes can reveal weak target returns by reducing interference from stronger targets. The manuscript provides an overview of recent advances in the design of multicarrier phase-coded waveforms based on Bjorck constant-amplitude zero-autocorrelation (CAZAC) sequences for use in an adaptive waveform selection scheme for mutliple target tracking. The adaptive waveform design is formulated using sequential Monte Carlo techniques that need to be matched to the high resolution measurements. The work will be of interest to both practitioners and researchers in radar as well as to researchers in other applications where high resolution measurements can have significant benefits. Table of Contents: Introduction / Radar Waveform Design / Target Tracking with a Particle Filter / Single Target tracking with LFM and CAZAC Sequences / Multiple Target Tracking / Conclusions

Download or read book Signal Processing for Joint Radar Communications written by Kumar Vijay Mishra and published by John Wiley & Sons. This book was released on 2024-04-09 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Joint Radar Communications A one-stop, comprehensive source for the latest research in joint radar communications In Signal Processing for Joint Radar Communications, four eminent electrical engineers deliver a practical and informative contribution to the diffusion of newly developed joint radar communications (JRC) tools into the sensing and communications communities. This book illustrates recent successes in applying modern signal processing theories to core problems in JRC. The book offers new results on algorithms and applications of JRC from diverse perspectives, including waveform design, physical layer processing, privacy, security, hardware prototyping, resource allocation, and sampling theory. The distinguished editors bring together contributions from more than 40 leading JRC researchers working on remote sensing, electromagnetics, optimization, signal processing, and beyond 5G wireless networks. The included resources provide an in-depth mathematical treatment of relevant signal processing tools and computational methods allowing readers to take full advantage of JRC systems. Readers will also find: Thorough introductions to fundamental limits and background on JRC theory and applications, including dual-function radar communications, cooperative JRC, distributed JRC, and passive JRC Comprehensive explorations of JRC processing via waveform analyses, interference mitigation, and modeling with jamming and clutter Practical discussions of information-theoretic, optimization, and networking aspects of JRC In-depth examinations of JRC applications in cutting-edge scenarios including automotive systems, intelligent reflecting surfaces, and secure parameter estimation Perfect for researchers and professionals in the fields of radar, signal processing, communications, information theory, networking, and electronic warfare, Signal Processing for Joint Radar Communications will also earn a place in the libraries of engineers working in the defense, aerospace, wireless communications, and automotive industries.

Download or read book 2021 IEEE International Symposium on Information Theory ISIT written by IEEE Staff and published by . This book was released on 2021-07-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ISIT is the premier international conference dedicated to the advancement of information theory and related areas It brings together an international community of researchers and practitioners each year in the field of information theory to present and discuss new research results and perspectives on future developments relevant to all areas of information theory, including big data analytics, source and channel coding, communication theory and systems, cryptography and security, detection and estimation, emerging applications, networks, network coding information theory, signal processing, and statistical machine learning

Download or read book Tractable Radar Waveform Design Under Practical Constraints written by Omar Aldayel and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Waveform design is one of the central aspects of radar systems. It can determine many of the radar properties. A well-designed waveform can improve the signal-to-interference-plus-noise ratio (SINR), enable suitable delay (range) resolution, and utilize the spectrum efficiently. Moreover, for multiple array radar system, waveform diversity can be employed to enhance the flexibility of the transmit beampattern design and enable efficient management of radar radiation power in directions of interest.While unconstrained waveform design is straightforward, a key open challenge is to enforce some of the significant practical constraints of constant modulus, waveform similarity and spectral interference constraints. Incorporating these constraints in an analytically tractable manner is a longstanding open challenge. This is due to the fact that the optimization problem subject to these constraints is a hard non-convex problem. Decades of the past work have shown a stiff trade-off between analytical tractability (achieved by relaxations to manageable constraints) and realistic design that exactly obeys these practical constraints but is computationally troublesome. In this dissertation, we propose a new framework that breaks this classical trade-off.In the first part, we address the problem of a joint transmit waveform and receive filter design for radar systems under the important practical constraints of constant modulus and waveform similarity. We develop a new analytical approach that involves solving a sequence of convex Quadratically Constrained Quadratic Programing (QCQP) problems, which we prove converges to a sub-optimal solution. Because an improvement in SINR results via solving each problem in the sequence, we call the method Successive QCQP Refinement (SQR). We evaluate SQR against other candidate techniques with respect to SINR performance, beampattern and pulse compression properties in a variety of scenarios. Results show that SQR outperforms state of the art methods that also employ constant modulus and/or similarity constraints while being computationally less burdensome.In the second part, we address the problem of designing a beampattern for Multiple-Input-Multiple-Output (MIMO) radar, which in turn is determined by the transmit waveform. A new approach is proposed in our work, which involves solving the hard non-convex problem of beampattern design using a sequence of convex equality constrained Quadratic Programs (QP), each of which has a closed form solution. The converged solution achieves constant modulus and satisfies the KarushKuhnTucker (KKT) optimality conditions, which we prove formally is possible under realistic assumptions. We evaluate the proposed successive closed forms (SCF) algorithm against state-of-the-art MIMO beampattern design techniques and show that SCF breaks the trade-off between desirable performance and the associated computation cost. Furthermore, we address the problem of designing a beampattern for MIMO radar under a spectral interference constraint, which in turn is determined by the transmitted waveform, as well as the constant modulus constraint. One key challenge when jointly enforcing the spectral interference constraint and the constant modulus constraint is to ensure feasibility of the optimization problem. A new approach is proposed in our work, which also involves solving a sequence of constrained quadratic programs, each of which results in a closed form solution. We formally prove that feasible set of each QP problem in the proposed beampattern optimization under interference constraint and the constant modulus constraint (BIC) algorithm is always non-empty. We evaluate BIC algorithm against the state-of-the-art MIMO beampattern design techniques under the constant modulus constraint and show that BIC achieves a higher performance while maintaining a low spectral interference level in the desired bands.In the final part of this dissertation, we address the problem of radar ambiguity function shaping. Ambiguity function shaping continues to be one of the most challenging open problems in cognitive radar. Analytically, a complex quartic function should be optimized as a function of the radar waveform code. We develop a new approach called Adaptive Sequential Refinement (ASR) to suppress the clutter returns for a desired range-Doppler, i.e. ambiguity function response. ASR solves the aforementioned optimization problem in a unique iterative manner such that the formulation is updated depending on the iteration index. We establish formally that: 1.) the problem in each step of the iteration has a closed form solution, and 2.) monotonic decrease of the cost function until convergence is guaranteed. Experimental validation shows that ASR perform better than state of the art alternatives even as its computational burden is orders of magnitude lower.In summary, this dissertation develop a new sequence of convex problems approaches towards solving the hard non-convex problems that appear in practical radar waveform design. Finally, we present some ideas for future research which address waveform design for cooperative radar-communication systems optimization, MIMO ambiguity function shaping and waveform design for autonomous vehicle.