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题名/责任者:

Advances in adaptive radar detection and range estimation / Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin = 自适应雷达信号检测与距离估计 / 郝程鹏, [意]丹尼洛·奥兰多, 刘军, 殷超然.

出版发行项:

Beijing : Science Press ; Singapore : Springer, 2022.

ISBN:

9787030716903

载体形态项:

xi, 218 pages : illustrations ; 24 cm

变异题名:

自适应雷达信号检测与距离估计

个人责任者:

Hao, Chengpeng author.

附加个人名称:

Orlando, Danilo, author.

附加个人名称:

Liu, Jun 1968- author.

附加个人名称:

Yin, Chaoran author.

论题主题:

Adaptive signal processing.

论题主题:

Radar.

论题主题:

Radar-Automatic detection.

中图法分类号:

TN911.7

书目附注:

Includes bibliographical references.

内容附注:

Introduction -- Adaptive Radar Detection: Classical Approach -- Knowledge-Aided Detectors -- Detectors with Range Estimation Capabilities -- Knowledge-Aided Detectors with Enhanced Range Estimation Capabilities -- Conclusions.

摘要附注:

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.

豆瓣简介：