Название: Advances in Adaptive Radar Detection and Range Estimation Автор: Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin Издательство: Springer Год: 2022 Формат: PDF Страниц: 226 Размер: 10,07 MB Язык: English
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.
Radar Detection Название: Radar Detection Автор: J. V. DiFranco, W. L. Rubin Издательство: SciTech Publishing Inc. Год: 2004 Формат: PDF Страниц: 673 Размер: 38,2 МБ...
Modern Radar Detection Theory Название: Modern Radar Detection Theory Автор: Edited by Antonio De Maio, Maria Sabrina Greco Издательство: SciTech Publishing Год: 2016 Формат: PDF...
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Advances in Adaptive Radar Detection and Range Estimation 
