Open AccessModeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
Author(s) -
Yan Liang,
Ping Sun,
Yi Lei,
Ning Han,
Jun Tang
Publication year - 2013
Publication title -
leida xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.301
H-Index - 13
ISSN - 2095-283X
DOI - 10.3724/sp.j.1300.2013.13083
Subject(s) - clutter , inverse gaussian distribution , gaussian , inverse , distribution (mathematics) , mathematics , physics , computer science , mathematical analysis , geometry , telecommunications , radar , quantum mechanics
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