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Adaptive detection of multichannel signals exploiting persymmetry

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive detection of multichannel signals exploiting persymmetryJun Liu ... [et al.]
other author:	Liu, Jun,
Published:	Boca Raton, FL :CRC Press,2023.
Description:	1 online resource.
Subject:	Signal detectionStatistical methods.
Online resource:	https://www.taylorfrancis.com/books/9781003340232
ISBN:	9781003340232$q(electronic bk.)

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: 9781003340232$q(electronic bk.)Subjects--Topical Terms:

214203
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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035 $a 9781003340232
040 $a OCoLC-P $b eng $c OCoLC-P
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050 0 0 $a TK5102.5
082 0 0 $a 621.382/2 $2 23
245 0 0 $a Adaptive detection of multichannel signals exploiting persymmetry $h [electronic resource] / $c Jun Liu ... [et al.]
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.
588 $a OCLC-licensed vendor bibliographic record.
650 0 $a Signal detection $x Statistical methods. $3 214203
650 0 $a Adaptive signal processing. $3 184676
650 0 $a Analysis of covariance. $3 273447
650 0 $a Symmetric matrices. $3 229307
700 1 $a Liu, Jun, $d 1983- $3 995772
856 4 0 $u https://www.taylorfrancis.com/books/9781003340232