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Informationen zum Autor Yujie Gu, PhD, currently works as a Senior Radar Scientist at Aptiv Advanced Engineering Center, Agoura Hills, California. He is an Associate Editor of IEEE Transactions on Signal Processing , a Subject Editor-in-Chief of Electronics Letters , an Editor of Signal Processing , and an elected member of the Sensor Array and Multichannel (SAM) Signal Processing Technical Committee and the Signal Processing Theory and Methods (SPTM) Technical Committee of the IEEE Signal Processing Society. He is a Senior Member of IEEE. Yimin D. Zhang, PhD, is currently an Associate Professor with the Department of Electrical and Computer Engineering at Temple University, Philadelphia, Pennsylvania. He is a Senior Area Editor of IEEE Transactions on Signal Processing , an Editor of Signal Processing , and an elected member of the Signal Processing Theory and Methods (SPTM) Technical Committee of the IEEE Signal Processing Society. He is a Fellow of IEEE, a Fellow of SPIE, and a Distinguished Lecturer of the IEEE Signal Processing Society. Klappentext A comprehensive introduction to the emerging research in information-theoretic radar signal processing Signal processing plays a pivotal role in radar systems to estimate, visualize, and leverage useful target information from noisy and distorted radar signals, harnessing their spatial characteristics, temporal features, and Doppler signatures. The burgeoning applications of information theory in radar signal processing provide a distinct perspective for tackling diverse challenges, including optimized waveform design, performance bound analysis, robust filtering, and target enumeration. Information-Theoretic Radar Signal Processing provides a comprehensive introduction to radar signal processing from an information theory perspective. Covering both fundamental principles and advanced techniques, the book facilitates the integration of information theory into radar signal processing, broadening the scope and improving the performance. Tailored to the needs of researchers and students alike, it serves as a valuable resource for comprehending the information-theoretic aspects of radar signal processing. Information-Theoretic Radar Signal Processing readers will also find: Presentation of alternative hypotheses in adaptive radar detectionDetailed discussion of topics including resource management and power allocationDirection-of-arrival (DOA) estimation and integrated sensing and communications (ISAC) Information-Theoretic Radar Signal Processing is ideal for graduate students, scientists, researchers, and engineers, who work on the broad scope of radar and sonar applications, including target detection, estimation, imaging, tracking, and classification using radio frequency, ultrasonic, and acoustic methods. Inhaltsverzeichnis About the Editors xvii List of Contributors xix Preface xxiii 1 Information-Theoretic Waveform Design for MIMO Radar Target Detection 1 Bo Tang, Jun Tang, and Petre Stoica 1.1 Introduction 1 1.2 Signal Model and Problem Formulation 4 1.3 Optimal Waveforms for Distributed MIMO Radar in the Absence of Clutter 8 1.4 MM-Based Waveform Design in the Presence of Range-Spread Clutter 11 1.5 Performance Assessment 19 1.6 Conclusion 23 Acknowledgments 24 References 24 2 Multiple Alternative Hypotheses in Adaptive Radar Detection: An Information-Theoretic Approach 29 Pia Addabbo, Danilo Orlando, and Gaetano Giunta 2.1 Introduction 29 2.2 Radar Detection Problems with Multiple Alternative Hypotheses 32 2.3 Detection Architectures and CFAR Properties 37 2.4 Performance Analysis for Application Examples 42 2.5 Conclusions 51 References 53 3 Information-Theoretic Appr...
