國立虎尾科技大學 |

Adaptive detection of multichannel signals exploiting persymmetry

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Adaptive detection of multichannel signals exploiting persymmetry/ Jun Liu ... [et al.]
其他作者:	Liu, Jun,
出版者:	Boca Raton, FL :CRC Press, : 2023.,
面頁冊數:	1 online resource.
標題:	Signal detection - Statistical methods. -
電子資源:	https://www.taylorfrancis.com/books/9781003340232
ISBN:	9781003340232

Adaptive detection of multichannel signals exploiting persymmetry
Adaptive detection of multichannel signals exploiting persymmetry[electronic resource] /Jun Liu ... [et al.] - 1st ed. - Boca Raton, FL :CRC Press,2023. - 1 online resource.

Includes bibliographical references.

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.

"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"--

ISBN: 9781003340232Subjects--Topical Terms:

1292683
Signal detection
--Statistical methods.

LC Class. No.: TK5102.5

Dewey Class. No.: 621.382/2

Adaptive detection of multichannel signals exploiting persymmetry
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250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2023.
300 $a 1 online resource.
504 $a Includes bibliographical references.
505 0 $a 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.
520 $a "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"-- $c Provided by publisher.
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650 0 $a Signal detection $x Statistical methods. $3 1292683
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650 0 $a Analysis of covariance. $3 889898
650 0 $a Symmetric matrices. $3 528176
700 1 $a Liu, Jun, $d 1983- $3 1497502
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