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Advances in Adaptive Radar Detection and Range Estimation
Kategorie	Beschreibung
036a	XB-SG
037b	eng
087q	978-981-16-6398-7
087q	978-981-16-6400-7
087q	978-981-16-6401-4
100	Hao, Chengpeng ¬[VerfasserIn]¬
104a	Orlando, Danilo ¬[VerfasserIn]¬
108a	Liu, Jun ¬[VerfasserIn]¬
112a	Yin, Chaoran ¬[VerfasserIn]¬
331	Advances in Adaptive Radar Detection and Range Estimation
403	1st ed. 2022.
410	Singapore
410	Singapore
412	Springer Singapore
412	Imprint: Springer
425	2022
425	2022
425a	2022
433	1 Online-Ressource(XI, 218 p. 80 illus., 14 illus. in color.)
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-16-6398-7
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-16-6400-7
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-16-6401-4
540a	ISBN 978-981-16-6399-4
700	\|TJFN
700	\|TEC024000
700	\|TJF
700b	\|621.3
750	Introduction -- Adaptive Radar Detection: Classical Approach -- Knowledge-Aided Detectors -- Detectors with Range Estimation Capabilities -- Knowledge-Aided Detectors with Enhanced Range Estimation Capabilities -- Conclusions.
753	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.
012	1780508719
081	Advances in Adaptive Radar Detection and Range Estimation
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttps://doi.org/10.1007/978-981-16-6399-4