Title :
Modelling of sea clutter with Gaussian mixtures and estimation of the clutter parameter
Author :
Sari, Faruk ; Sari, Nurqen ; Mili, Lamine
Author_Institution :
Tubitak, Kocaeli, Turkey
Abstract :
In order to model sea clutter, we propose to use a generalized distribution which is valid for different background statistics, like low and high sea states. The envelope detector´s input statistics are assumed to be a Gaussian-mixture (GM). A new background probability density function (pdf) resembles Rician mixtures. In order to detect targets using adaptive techniques, clutter background statistics should be known a priori. In practice, however, background statistics are typically not known a priori. Thus, a joint estimation and detection process is employed whereby the background statistics are estimated before target detection. We estimate the parameters using a maximum likelihood (ML) based method from the output of the envelope detector. Performance analysis is presented using real sea clutter data.
Keywords :
Gaussian processes; adaptive signal detection; marine radar; maximum likelihood estimation; radar clutter; radar detection; Gaussian mixtures; Rician mixtures; adaptive detection; adaptive target detection; background statistics estimation; clutter parameter estimation; envelope detector; maximum likelihood estimation; probability density function; radar clutter; sea clutter modelling; Envelope detectors; Gaussian processes; Maximum likelihood detection; Maximum likelihood estimation; Object detection; Parameter estimation; Probability density function; Rician channels; Statistical distributions; Statistics;
Conference_Titel :
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN :
0-7803-8318-4
DOI :
10.1109/SIU.2004.1338255