Title :
The rao test of weak signal in non-Gaussian clutter
Author :
Fang, Qianxue ; Yang, Jianwen ; Wang, Jianwu ; Huang, Bin
Author_Institution :
Staff Room of Radar & Fire Control, Guilin, China
Abstract :
The Rao test of weak signal in non-Gaussian clutter is addressed. Both the models of Gaussian mixture distribution and Alpha-stable distribution are used to simulate the clutter distribution of airborne early warning radar. The improved expectation maximization algorithm [4] and iterative algorithm are used to estimate the parameters of Gaussian mixture distribution and Alpha-stable distribution respectively, and then the Rao decision rule under non-Gaussian clutter environment is presented. Theory analyses and simulation results indicate that the detection performances of Rao test based on non-Gaussian clutter hypothesis outperform that of Rao test based on Gaussian clutter hypothesis.
Keywords :
Gaussian processes; clutter; expectation-maximisation algorithm; Alpha-stable distribution; Gaussian mixture distribution; Rao decision rule; Rao test; clutter distribution; expectation maximization algorithm; iterative algorithm; nonGaussian clutter hypothesis; weak signal; Clutter; Mathematical model; Radar clutter; Radar detection; Signal processing algorithms; Rao test; non-Gaussian clutter; parameter estimation; signal detection;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100575
