Detection problem in mixed clutterenvironment as a Gaussian problemby adaptive preprocessing

6 July 1995

journal article
Published by Institution of Engineering and Technology (IET) in Electronics Letters

Vol. 31 (14) , 1189-1190
https://doi.org/10.1049/el:19950808

Abstract

The authors introduce an adaptive suboptimum procedure for the detection of a signal of known form in the presence of a disturbance, which is assumed to be a mixture of coherent K-distributed and Gaussian distributed clutter sources with unknown distributions. A generalised likelihood ratio test is derived exploiting a simple idea: by normalising the clutter samples from each range cell with the estimated local power, the detection problem is reduced to a Gaussian problem and a simple adaptive detector is obtained.

Keywords

GAUSSIAN DISTRIBUTED CLUTTER SOURCES
ADAPTIVE SUBOPTIMUM PROCEDURE
MIXED CLUTTER ENVIRONMENT
GENERALISED LIKELIHOOD TEST
COHERENT K-DISTRIBUTED CLUTTER SOURCES
ADAPTIVE PREPROCESSING
GAUSSIAN PROBLEM

This publication has 1 reference indexed in Scilit:

An Adaptive Detection Algorithm
IEEE Transactions on Aerospace and Electronic Systems, 1986