Principles of Radar and Sonar Signal Processing offers you a thorough presentation of the latest technologies in conventional and adaptive signal processing theory, and covers techniques for detailed analysis of physical signatures of targets and clutter. You learn how target signature analysis provides you with a better understanding of the various techniques used in anechoic chambers and modern radar systems. Examples of signatures give you a greater insight into classification problems. A discussion on low frequency systems, wideband radars, and STAP provides you with a better awareness of physical limits and future developments. Extensively supported with over 440 equations and more than 110 illustrations, this book offers you a unique, coherent presentation of active and passive radar and sonar signal processing basics, with extensive analysis of adaptive processing theory and techniques. Each chapter leads you into the subject matter with a brief discussion of principles, reference examples, and a simple presentation of each topic at the beginning.
Radar and Sonar - Summary.Introduction. The Active Radar or Sonar Signal. Physical Interpretation. Passive Listening. Optimum Reception in White Noise - Summary. Principle. Optimum Receiver. Appendix: Cramer-Rao Inequality.; Application To Radar - Summary. Doppler-Range Ambiguity. Examples of Doppler-Range Ambiguity Functions. Radar Mapping: Synthetic Aperture Radar. Angular Location. Signal Processing Implementation. Appendix: Relation Between Duration and Bandwidth. Appendix: Radar Range Equation. Appendix: Spectral Purity. References.; Optimum Reception in Colored Noise - Summary.Introduction. Receiver Structure. Application to Spurious Echoes. Stationary Colored Noise, Infinite Observation Time. Discussion. Appendix: Karhunen-Loeve Expansion. Appendix: Optimum Receiver in Colored Noise. Appendix: Estimation of a Random Signal.; Adaptive Processing - Summary.Introduction. Adaptive Noise Suppression. Adaptive Whitening. Sensor Arrays. Discussion. Passive Listening. Conclusion. Appendix: Matrix Inversion Lemma. References.; Target And Background Signatures - Summary. Radar or Sonar Reflection. Modeling of Non-Deformable Targets. Deformable Targets. Background Signatures. Passive Listening. Appendix: A Multifrequency Ground Clutter Model. References.; Signature Adapted Processing - Summary. Radar Target Recognition. Extended Target Tracking. Target Extraction From Clutter. Low Frequency Radars. Wideband Radars. Periodic Signal Passive Listening. Appendix: Variance of a Rayleigh Variable at the Output. Appendix: Probability Density of the Instantaneous Frequency. References.
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Francois Le Chevalier
Francois LeChevalier is the scientific director of Thales Airborne Systems in Elancourt, France. He received his degree in telecommunications engineering from Ecole Nationale Superieure des Telecommunications, in Paris. He is an Emerite member of SEE and a senior member of IEEE.