Simulation of Inverse Gaussian Compound Gaussian distribution Sea Clutter Based on SIRP

Author

Lei Yi ; Liang Yan ; Ning Han

Author_Institution

Coll. of Sci., Beijing Forestry Univ., Beijing, China

fYear

2014

fDate

29-30 Sept. 2014

Firstpage

1026

Lastpage

1029

Abstract

Modeling and simulating of sea clutter is the research focus in theoretical field of radar signal processing all the time and it has important application in technology of CFAR detection. This paper introduces the statistical properties of Inverse Gaussian Compound Gaussian distribution (IG-CG) and according to theory of spherically invariant random process (SIRP), proposes a simulating method of radar clutter based on IG-CG model. The results of experiment proved that random vectors generated by the method fit theoretical clutters of IG-CG distribution both in amplitude aspect and power spectral density aspect. Through the test of chi-square goodness of fit, random vectors satisfy theoretical distribution under confidence interval 0.95.

Keywords

Gaussian distribution; Gaussian processes; inverse problems; radar clutter; radar detection; radar signal processing; random processes; vectors; CFAR detection; IG-CG model; SIRP; chi-square testing; inverse Gaussian compound Gaussian distribution model; power spectral density aspect; radar clutter method; radar signal processing; random vector generation; sea clutter simulation; spherically invariant random process; statistical property; Analytical models; Clutter; Compounds; Data models; Gaussian distribution; Radar; Vectors; IG-CG distribution; sea clutter; spherically invariant random process (SIRP);

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on

Conference_Location

Ottawa, ON

Type

conf

DOI

10.1109/WARTIA.2014.6976451

Filename

6976451