
Waveform Design and Diversity for Advanced Radar Systems
Description
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Persons
Antonio De Maio is an Associate Professor at the University of Naples 'Federico II'. His research interest lies in the field of statistical signal processing, with emphasis on radar detection and optimization theory applied to radar signal processing.
Lee Patton is a Senior Research Engineer with Matrix Research, Inc. His research interests include radar signal processing and system design, with a special emphasis on waveform diversity and design.
Content
Chapter 2: Information theory and radar waveform design
Chapter 3: Multistatic ambiguity function and sensor placement strategies
Chapter 4: MIMO radar waveform design
Chapter 5: Passive bistatic radar waveforms
Chapter 6: Biologically inspired waveform diversity
Chapter 7: Continuous waveforms for automotive radar systems
Chapter 8: Multistatic and waveform-diverse radar pulse compression
Chapter 9: Optimal channel selection in a multistatic radar system
Chapter 10: Waveform design for non-cooperative radar networks
Chapter 11: Waveform design based on phase conjugation and time reversal
Chapter 12: Space-time diversity for active antenna systems
Chapter 13: Autocorrelation constraints in radar waveform optimization for detection
Chapter 14: Adaptive waveform design for radar target classification
Chapter 15: Adaptive waveform design for tracking
Chapter 16: Adaptive polarization design for target detection and tracking
Chapter 17: Knowledge-aided transmit signal and receive filter design in signal-dependent clutter
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