Advances in Adaptive Radar Detection and Range Estimation (Paperback, 1st ed. 2022)

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, this book 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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	December 2022
First published:	2022
Authors:	Chengpeng Hao • Danilo Orlando • Jun Liu • Chaoran Yin
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	218
Edition:	1st ed. 2022
ISBN-13:	978-981-16-6401-4
Categories:	Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > Radar
LSN:	981-16-6401-3
Barcode:	9789811664014

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