MARC状态：已编 文献类型：西文图书 浏览次数：5
- 题名/责任者:
- Adaptive detection of multichannel signals exploiting persymmetry / Jun Liu, Danilo Orlando, Chengpeng Hao, Weijian Liu.
- 版本说明:
- First edition.
- 出版发行项:
- Boca Raton : CRC Press, Taylor & Francis Group, 2023.
- ISBN:
- 9781032374246
- ISBN:
- 9781032374277
- 载体形态项:
- xviii, 295 pages : illustrations, charts ; 24 cm
- 其他载体形态:
- Online version: Liu, Jun, 1983- Adaptive detection of multichannel signals exploiting persymmetry. First edition Boca Raton : CRC Press, Taylor & Francis Group, 2023 9781003340232
- 个人责任者:
- Liu, Jun, 1983- author.
- 附加个人名称:
- Orlando, Danilo, author.
- 附加个人名称:
- Hao, Chengpeng, 1975- author.
- 附加个人名称:
- Liu, Weijian, 1982- author.
- 论题主题:
- Signal detection-Statistical methods.
- 论题主题:
- Analysis of covariance.
- 论题主题:
- Symmetric matrices.
- 中图法分类号:
- TN911.23
- 书目附注:
- Includes bibliographical references.
- 内容附注:
- Basic concept -- Output SINR analysis -- Invariance issues under persymmetry -- Persymmetric adaptive subspace detector -- Persymmetric detectors with enhanced rejection capabilities -- Distributed target detection in homogeneous environments -- Robust detection in homogeneous environments -- Adaptive detection with unknown steering vector -- Adaptive detection in interference -- Adaptive detection in partially homogeneous environments -- Robust detection in partially homogeneous environments -- Joint exploitation of persymmetry and symmetric spectrum -- Adaptive detection after covariance matrix classification -- MIMO radar target detection.
- 摘要附注:
- "This book offers a systematic presentation of persymmetric adaptive detection, including detector derivations and the definition of key concepts, followed by detailed discussion relating to theoretical underpinnings, design methodology, design considerations and techniques enabling its practical implementation. The received data for modern radar systems are usually multichannel, namely, vector-valued, or even matrix-valued. Multichannel signal detection in Gaussian backgrounds is a fundamental problem for radar applications. With an overarching focus on persymmetric adaptive detectors, this book presents the mathematical models and design principles necessary for analyzing the behavior of each kind of persymmetric adaptive detector. Building upon that, it also introduces new design approaches and techniques that will guide engineering students as well as radar engineers towards efficient detector solutions, especially in challenging sample-starved environments where training data is limited. This book will be of interest to students, scholars, and engineers in the field of signal processing. It will be especially useful for those who have a solid background in statistical signal processing, multivariate statistical analysis, matrix theory, and mathematical analysis"--
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