Advances in Adaptive Radar Detection and Range Estimation
Hao, Chengpeng, Orlando, Danilo, Liu, Jun, Yin, Chaoran
Produktnummer:
18661a7fb18ff84b1e98677cd6dafdfb60
Autor: | Hao, Chengpeng Liu, Jun Orlando, Danilo Yin, Chaoran |
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Themengebiete: | Rao test Wald test adaptive radar detection complex Wishart distribution constant false alarm rate (CFAR) covariance matrix estimation generalized likelihood ratio test (GLRT) range estimation sensor array target energy spillover |
Veröffentlichungsdatum: | 04.12.2021 |
EAN: | 9789811663987 |
Sprache: | Englisch |
Seitenzahl: | 218 |
Produktart: | Gebunden |
Verlag: | Springer Singapore |
Produktinformationen "Advances in Adaptive Radar Detection and Range Estimation"
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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