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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.
Book Synopsis Waveform Design and Diversity for Advanced Radar Systems by : Fulvio Gini
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.
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. This book enables solutions to problems, explaining 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.
Book Synopsis Principles of Waveform Diversity and Design by : Michael C. Wicks
Download or read book Principles of Waveform Diversity and Design written by Michael C. Wicks and published by SciTech Publishing. This book was released on 2011-06-30 with total page 1230 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. This book enables solutions to problems, explaining 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.
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.
Book Synopsis Signal Design for Modern Radar Systems by : Mohammad Alaee-Kerahroodi
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.
This volume presents the state-of-the-art in advanced radar, with emphasis on ongoing novel research and development and contributions from an international team of leading radar experts.
Book Synopsis Novel Radar Techniques and Applications by : Richard Klemm
Download or read book Novel Radar Techniques and Applications written by Richard Klemm and published by IET. This book was released on 2017-10-23 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the state-of-the-art in advanced radar, with emphasis on ongoing novel research and development and contributions from an international team of leading radar experts.
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.
Book Synopsis Tractable Radar Waveform Design Under Practical Constraints by : Omar Aldayel
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.
Weather radar is a vital instrument for observing the atmosphere to help provide weather forecasts and issue weather warnings to the public. The current Next Generation Weather Radar (NEXRAD) system provides Doppler radar coverage to most regions of the United States (NRC, 1995). This network was designed in the mid 1980s and deployed in the 1990s as part of the National Weather Service (NWS) modernization (NRC, 1999). Since the initial design phase of the NEXRAD program, considerable advances have been made in radar technologies and in the use of weather radar for monitoring and prediction. The development of new technologies provides the motivation for appraising the status of the current weather radar system and identifying the most promising approaches for the development of its eventual replacement. The charge to the committee was to determine the state of knowledge regarding ground-based weather surveillance radar technology and identify the most promising approaches for the design of the replacement for the present Doppler Weather Radar. This report presents a first look at potential approaches for future upgrades to or replacements of the current weather radar system. The need, and schedule, for replacing the current system has not been established, but the committee used the briefings and deliberations to assess how the current system satisfies the current and emerging needs of the operational and research communities and identified potential system upgrades for providing improved weather forecasts and warnings. The time scale for any total replacement of the system (20- to 30-year time horizon) precluded detailed investigation of the designs and cost structures associated with any new weather radar system. The committee instead noted technologies that could provide improvements over the capabilities of the evolving NEXRAD system and recommends more detailed investigation and evaluation of several of these technologies. In the course of its deliberations, the committee developed a sense that the processes by which the eventual replacement radar system is developed and deployed could be as significant as the specific technologies adopted. Consequently, some of the committee's recommendations deal with such procedural issues.
Book Synopsis Weather Radar Technology Beyond NEXRAD by : National Research Council
Download or read book Weather Radar Technology Beyond NEXRAD written by National Research Council and published by National Academies Press. This book was released on 2002-08-31 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weather radar is a vital instrument for observing the atmosphere to help provide weather forecasts and issue weather warnings to the public. The current Next Generation Weather Radar (NEXRAD) system provides Doppler radar coverage to most regions of the United States (NRC, 1995). This network was designed in the mid 1980s and deployed in the 1990s as part of the National Weather Service (NWS) modernization (NRC, 1999). Since the initial design phase of the NEXRAD program, considerable advances have been made in radar technologies and in the use of weather radar for monitoring and prediction. The development of new technologies provides the motivation for appraising the status of the current weather radar system and identifying the most promising approaches for the development of its eventual replacement. The charge to the committee was to determine the state of knowledge regarding ground-based weather surveillance radar technology and identify the most promising approaches for the design of the replacement for the present Doppler Weather Radar. This report presents a first look at potential approaches for future upgrades to or replacements of the current weather radar system. The need, and schedule, for replacing the current system has not been established, but the committee used the briefings and deliberations to assess how the current system satisfies the current and emerging needs of the operational and research communities and identified potential system upgrades for providing improved weather forecasts and warnings. The time scale for any total replacement of the system (20- to 30-year time horizon) precluded detailed investigation of the designs and cost structures associated with any new weather radar system. The committee instead noted technologies that could provide improvements over the capabilities of the evolving NEXRAD system and recommends more detailed investigation and evaluation of several of these technologies. In the course of its deliberations, the committee developed a sense that the processes by which the eventual replacement radar system is developed and deployed could be as significant as the specific technologies adopted. Consequently, some of the committee's recommendations deal with such procedural issues.
This comprehensive new resource provides in-depth and timely coverage of the underpinnings and latest advances of MIMO radar. This book provides a comprehensive introduction to MIMO radar and demonstrates it’s utility in real-world applications, then culminates with the latest advances in optimal and adaptive MIMO radar for enhanced detection and target ID in challenging environments. Signal processing prerequisites are explained, including radar signals, orthogonal waveforms, matched filtering, multi-channel beam forming, and Doppler processing. This book discusses MIMO radar signal model, antenna properties, system modeling and waveform alternatives. MIMO implantation challenges are covered, including computational complexity, adaptive clutter mitigation, calibration and equalization, and hardware constraints. Applications for GMTI radar, OTH radar, maritime radar, and automotive radar are explained. The book offers an introduction to optimum MIMO radar and includes details about detection, clutter, and target ID. Insight into adaptive MIMO radar and MIMO channel estimation is presented and techniques and illustrative examples are given. Readers find exclusive flight testing data from DARPA. The breadth of coverage in this all-inclusive resource makes it suitable for both practicing engineers and advanced researchers. The book concludes with discussions on areas for future research.
Book Synopsis MIMO Radar: Theory and Application by : Jamie Bergin
Download or read book MIMO Radar: Theory and Application written by Jamie Bergin and published by Artech House. This book was released on 2018-03-31 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive new resource provides in-depth and timely coverage of the underpinnings and latest advances of MIMO radar. This book provides a comprehensive introduction to MIMO radar and demonstrates it’s utility in real-world applications, then culminates with the latest advances in optimal and adaptive MIMO radar for enhanced detection and target ID in challenging environments. Signal processing prerequisites are explained, including radar signals, orthogonal waveforms, matched filtering, multi-channel beam forming, and Doppler processing. This book discusses MIMO radar signal model, antenna properties, system modeling and waveform alternatives. MIMO implantation challenges are covered, including computational complexity, adaptive clutter mitigation, calibration and equalization, and hardware constraints. Applications for GMTI radar, OTH radar, maritime radar, and automotive radar are explained. The book offers an introduction to optimum MIMO radar and includes details about detection, clutter, and target ID. Insight into adaptive MIMO radar and MIMO channel estimation is presented and techniques and illustrative examples are given. Readers find exclusive flight testing data from DARPA. The breadth of coverage in this all-inclusive resource makes it suitable for both practicing engineers and advanced researchers. The book concludes with discussions on areas for future research.
Book Synopsis Waveform Design for Multiple-input Multiple Output Radar Systems by : Geoffrey S. San Antonio
Download or read book Waveform Design for Multiple-input Multiple Output Radar Systems written by Geoffrey S. San Antonio and published by . This book was released on 2007 with total page 316 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
Book Synopsis Waveform Diversity: Theory & Applications by : S Unnikrishna Pillai
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
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.
Book Synopsis MIMO Radar Signal Processing by : Jian Li
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.
