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

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.