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Advances in Adaptive Radar Detection and Range Estimation

By: Chaoran Yin (Author) , Chengpeng Hao (Author) , Danilo Orlando (Author) , Jun Liu (Author)

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Ksh 29,650.00

Format: Paperback or Softback

ISBN-10: 9811664013

ISBN-13: 9789811664014

Edition statement: 2022 ed.

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 5th, 2022

Publication Status: Active

Product extent: 218 Pages

Product Classification / Subject(s): Radar

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Introduction.- Adaptive Radar Detection: Classical Approach.- Knowledge-Aided Detectors.- Detectors with Range Estimation Capabilities.- Knowledge-Aided Detectors with Enhanced Range Estimation Capabilities.- Conclusions.

This book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test.In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements.Finally, thisbook could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.

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