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

Volume

4

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

2241

Lastpage

2245

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100575

Filename

6100575