DocumentCode :
33322
Title :
Persymmetric detectors with enhanced rejection capabilities
Author :
Chengpeng Hao ; Orlando, Danilo ; Xiaochuan Ma ; Shefeng Yan ; Chaohuan Hou
Author_Institution :
State Key Lab. of Acoust., Inst. of Acoust., Beijing, China
Volume :
8
Issue :
5
fYear :
2014
fDate :
Jun-14
Firstpage :
557
Lastpage :
563
Abstract :
In this study, the authors deal with the problem of adaptive detection of point-like targets in Gaussian disturbance with unknown but persymmetric structured covariance matrix induced by the space and/or time symmetry of the sensing system. In this framework, they devise and assess two selective receivers exploiting the Rao test and the generalised likelihood ratio test design criteria. The performance assessment, conducted by Monte Carlo simulation, has shown that the proposed receivers can significantly outperform their unstructured counterparts and guarantee enhanced rejection performance of unwanted signals with respect to their natural competitors.
Keywords :
Gaussian processes; Hermitian matrices; Monte Carlo methods; covariance matrices; radar detection; radar receivers; radar signal processing; Gaussian disturbance; Monte Carlo simulation; Rao test; adaptive detection; adaptive radar detection; generalised likelihood ratio test design; persymmetric detectors; persymmetric matrix; persymmetric structured covariance matrix; point-like targets; positive-definite Hermitian matrix; receivers; rejection capability enhancement; selective receivers; unwanted signals;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn.2013.0115
Filename :
6824676
Link To Document :
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