Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution

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...

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Main Authors: Yan Liang, Sun Pei-lin, Yi Lei, Han Ning, Tang Jun
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2013-12-01
Series:Leida xuebao
Subjects:
Online Access:http://radars.ie.ac.cn/EN/abstract/abstract132.shtml#
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author Yan Liang
Sun Pei-lin
Yi Lei
Han Ning
Tang Jun
author_facet Yan Liang
Sun Pei-lin
Yi Lei
Han Ning
Tang Jun
author_sort Yan Liang
collection DOAJ
description 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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2095-283X
language English
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spelling doaj.art-2dcb57cdbec54efbaf5d09f7dc113c4f2023-12-02T13:39:12ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2013-12-012446146510.3724/SP.J.1300.2013.13083Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian DistributionYan Liang0Sun Pei-lin1Yi Lei2Han Ning3Tang Jun4Institute of Engineering, Beijing Forestry UniversityDepartment of Electronic Engineering, Tsinghua UniversityFaculty of Science, Beijing Forestry UniversityInstitute of Engineering, Beijing Forestry UniversityDepartment of Electronic Engineering, Tsinghua UniversityThe 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.http://radars.ie.ac.cn/EN/abstract/abstract132.shtml#Sea clutterCompound-Gaussian (CG) distributionK distributionIG-CG distribution
spellingShingle Yan Liang
Sun Pei-lin
Yi Lei
Han Ning
Tang Jun
Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
Leida xuebao
Sea clutter
Compound-Gaussian (CG) distribution
K distribution
IG-CG distribution
title Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
title_full Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
title_fullStr Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
title_full_unstemmed Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
title_short Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
title_sort modeling of compound gaussian sea clutter based on inverse gaussian distribution
topic Sea clutter
Compound-Gaussian (CG) distribution
K distribution
IG-CG distribution
url http://radars.ie.ac.cn/EN/abstract/abstract132.shtml#
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AT yilei modelingofcompoundgaussianseaclutterbasedoninversegaussiandistribution
AT hanning modelingofcompoundgaussianseaclutterbasedoninversegaussiandistribution
AT tangjun modelingofcompoundgaussianseaclutterbasedoninversegaussiandistribution