Metadata record
这是元数据记录,而非可下载的文件。你可以使用这个链接来请求文件。 若你拥有的文件未被安娜的档案收录,请考虑上传文件。
Advances in Adaptive Radar Detection and Range Estimation 🔍
Chengpeng Hao; Danilo Orlando; Jun Liu; Chaoran Yin
Springer Nature Singapore, 2021
元数据 · 英语 [en] · 2021 · 📗 未知类型的图书 · libby · Libby 8144121
描述
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.
备选作者
Hao, Chengpeng; Orlando, Danilo; Liu, Jun; Yin, Chaoran
开源日期
2024-09-11
- 未找到下载。
有关此文件的详细信息,请查看其JSON 文件。 Live/debug JSON version. Live/debug page.