Title :
Fluctuating Target Detection in Fluctuating
-Distributed Clutter
Author :
Abramovich, Yuri I. ; Besson, Olivier
Author_Institution :
W.R. Syst., Ltd., Fairfax, VA, USA
Abstract :
This letter deals with the problem of fluctuating target detection in heavy-tailed K-distributed clutter over a number T of independent coherent intervals, e.g., in the case of a long observation interval (“stare mode”), or that of independent (range) resolution cells as per the track before detect techniques. The generalized likelihood ratio test for the problem at hand is derived, as well as an approximation of it, whose distribution under the null hypothesis is derived. We also show some significant differences as compared to the usual Gaussian case, in particular the influence of T and of the shape parameter of the K distribution.
Keywords :
object detection; radar clutter; radar signal processing; statistical distributions; target tracking; fluctuating target detection; generalized likelihood ratio test; heavy-tailed k-distributed clutter; null hypothesis; shape parameter; Approximation methods; Clutter; Detectors; Maximum likelihood estimation; Noise; Object detection; Shape; $K$ distributed noise; Adaptive detection; generalized likelihood ratio test;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2015.2436972