NDLI: Persymmetric detectors with enhanced rejection capabilities

Content Provider	IET Digital Library
Author	Hao, Chengpeng Orlando, Danilo Ma, Xiaochuan Yan, Shefeng Hou, Chaohuan
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.
Starting Page	557
Ending Page	563
Page Count	7
ISSN	17518784
Volume Number	8
e-ISSN	17518792
Issue Number	Issue 5, Jun (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/8/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2013.0115
Journal	IET Radar, Sonar & Navigation
Publisher Date	2013-12-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Detection Adaptive Radar Detection Algebra Covariance Matrices Gaussian Disturbance Gaussian Processes Generalised Likelihood Ratio Test Design Hermitian Matrix Monte Carlo Method Monte Carlo Simulation Persymmetric Detector Persymmetric Matrix Persymmetric Structured Covariance Matrix Point-like Targets Positive-definite Hermitian Matrix Radar Detection Radar Equipment Radar Receiver Radar Signal Processing Rao Test Receiver Rejection Capability Enhancement Selective Receiver Signal Detection System And Application Unwanted Signal
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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