Compressed sensing in radar signal processing

✍ Scribed by De Maio, Antonio; Eldar, Yonina C.; Haimovich, Alexander M (ed.)

• Publisher: Cambridge University Press
• Year: 2020
• Tongue: English
• Leaves: 396
• Category: Library

✦ Synopsis

"Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar"--

✦ Table of Contents

Cover......Page 1
Front Matter......Page 3
Compressed Sensing in RadarSignal Processing......Page 5
Copyright......Page 6
Dedication......Page 7
Contents......Page 9
Contributors......Page 13
Introduction......Page 16
Symbols......Page 22
1 Sub-Nyquist Radar: Principlesand Prototypes......Page 25
2 Clutter Rejection and AdaptiveFiltering in CompressedSensing Radar......Page 73
3 RFI Mitigation Based on CompressiveSensing Methods for UWBRadar Imaging......Page 96
4 Compressed CFAR Techniques......Page 129
5 Sparsity-Based Methods for CFARTarget Detection in STAPRandom Arrays......Page 159
6 Fast and Robust Sparsity-BasedSTAP Methods for NonhomogeneousClutter......Page 189
7 Super-Resolution Radar Imagingvia Convex Optimization......Page 217
8 Adaptive Beamforming viaSparsity-Based Reconstructionof Covariance Matrix......Page 249
9 Spectrum Sensing for CognitiveRadar via Model Sparsity Exploitation......Page 281
10 Cooperative Spectrum Sharingbetween Sparse Sensing-BasedRadar and Communication Systems......Page 308
11 Compressed Sensing Methods forRadar Imaging in the Presence ofPhase Errors and Moving Objects......Page 345
Index......Page 379

✦ Subjects

Compressed sensing (Telecommunication);Radar