Modeling and simulation of non-Gaussian correlated clutter

Author

Sujuan, Fang ; Wugao, Li ; Dejun, Zhu

Author_Institution

Electron. Inst. of Peng Jiang, Shanghai, China

fYear

1996

fDate

8-10 Oct 1996

Firstpage

195

Lastpage

199

Abstract

In the case of high resolution radar and/or low grazing angles, the amplitude statistic of radar clutter is found to exhibit large deviations from the Rayleigh distribution, so the classical Gaussian model is no longer applicable. The compound model with SIRP and AR is proposed to describe the non-Gaussian correlated clutter. The simulation data of the clutter returns with K amplitude distribution are generated and statistically tested by computer. The results show that the model is suitable and accurate. Finally, work on fitting actual observed data is considered

Keywords

autoregressive processes; correlation methods; digital simulation; radar clutter; radar detection; radar signal processing; signal resolution; simulation; statistical analysis; AR; K amplitude distribution; Rayleigh distribution; SIRP; amplitude statistic; clutter returns; compound model; high resolution radar; low grazing angles; modeling; nonGaussian correlated clutter; observed data fitting; optimal radar processor; radar target detection; simulation data; statistical tests; Decorrelation; Gaussian processes; Higher order statistics; Nonlinear filters; Probability distribution; Radar clutter; Radar detection; Signal processing; Statistical distributions; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 1996. Proceedings., CIE International Conference of

Conference_Location

Beijing

Print_ISBN

0-7803-2914-7

Type

conf

DOI

10.1109/ICR.1996.573805

Filename

573805