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Advances In Adaptive Radar Detection And Range Estimation eBook

by Jun Liu, Chaoran Yin, Chengpeng Hao e Danilo Orlando
Book eBook
language: english
Publisher: Springer Nature Singapore, December of 2021 ‧
171,59€
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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.

Advances In Adaptive Radar Detection And Range Estimation

by Jun Liu, Chaoran Yin, Chengpeng Hao e Danilo Orlando

Property Description
ISBN: 9789811663994
Publisher: Springer Nature Singapore
Release Date: December of 2021
Language: English
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Engineering > Electricity and Energy
EAN: 9789811663994
Acessibilidade: Ver características de acessibilidade indicadas pelo editor