Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution

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Abstract The Compound-Gaussian (CG) distribution is widely used for modeling the non-Gaussian clutter, and its texture component describes the non-Gaussian properties of clutter. In this paper, a CG model with an inverse Gaussian texture distribution is proposed, called Inverse Gaussian Compound Gaussian (IG-CG) distribution, and its distributional properties are derived. The IPIX radar lake-clutter measurements are analyzed, and the results show that the two-parameter IG-CG distribution model fits the real radar data better than single parameter IG-CG distribution model and K distribution model.

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	Articles by authors
	Yan Liang
	Sun Pei-lin
	Yi Lei
	Han Ning
	Tang Jun

Key words： Sea clutter Compound-Gaussian (CG) distribution K distribution IG-CG distribution

Received: 2013-09-10; Published: 2013-11-27

Cite this article:

Yan Liang,Sun Pei-lin,Yi Lei et al. Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution[J]. JOURNAL OF RADARS, 2013, 2(4): 461-465.

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