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