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Full Description
The second edition of Principles of Modern Radar Volume 2: Advanced Techniques is a comprehensive textbook serving as an important technical reference for practicing radar engineers and graduate students alike. The book covers essential topics in modern radar development, including radar waveform design and processing, radar imaging algorithms, multidimensional adaptive antenna processing techniques, target recognition approaches and methods, distributed radar algorithms, and an introduction to artificial intelligence and machine learning for radar.
The chapters are written by noted experts, and each provides breadth of coverage while maintaining engineering rigor appropriate for the intended audience.
The book focuses on five key areas:
Waveforms and radar operation in spectrum-sharing environments;
Synthetic aperture radar, including spotlight, stripmap, and interferometric operating modes;
Array processing and interference mitigation, with detailed discussion of adaptive digital beamforming, space-time adaptive processing, and MIMO radar;
Post processing considerations, including radar polarimetry and target recognition methods, and multisensor/multitarget tracking algorithms;
Processing methods for distributed radar, as well as introductions to AI/ML radar approaches and cognitive radar.
The popular first edition of Principles of Modern Radar Volume 2: Advanced Techniques has been completely updated and includes the latest developments in radar signal and data processing methods.
Contents
Chapter 1: Overview: Advanced Techniques in Modern Radar
Part I: Waveforms and Spectrum
Chapter 2: Advanced Pulse Compression Waveform Modulations and Techniques
Chapter 3: Optimal and Adaptive MIMO Waveform Design
Chapter 4: Radar Applications of Sparse Reconstruction and Compressed Sensing
Chapter 5: Spectrum Sharing Approaches
Part II: Synthetic Aperture Radar
Chapter 6: Spotlight Synthetic Aperture Radar
Chapter 7: Stripmap Synthetic Aperture Radar
Chapter 8: Interferometric Synthetic Aperture Radar
Part III: Array Processing and Interference Mitigation Techniques
Chapter 9: Adaptive Digital Beamforming
Chapter 10: Clutter Suppression Using Space-Time Adaptive Processing
Chapter 11: MIMO Radar
Chapter 12: Electromagnetic Protection
Part IV: Post-Processing Considerations
Chapter 13: Introduction to Radar Polarimetry
Chapter 14: Automatic Target Recognition
Chapter 15: Multi-Sensor Multi-Target Tracking Systems
Part V: Emerging Techniques
Chapter 16: Advanced Processing Methods for Passive Bistatic Radar Systems
Chapter 17: Machine Learning for Radar
Chapter 18: An Introduction to Cognitive Radar
Appendix: Quick Reference Guide
