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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
China Science Publishing & Media Ltd. (CSPM)
2013-12-01
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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. |
first_indexed | 2024-03-09T08:53:58Z |
format | Article |
id | doaj.art-2dcb57cdbec54efbaf5d09f7dc113c4f |
institution | Directory Open Access Journal |
issn | 2095-283X 2095-283X |
language | English |
last_indexed | 2024-03-09T08:53:58Z |
publishDate | 2013-12-01 |
publisher | China Science Publishing & Media Ltd. (CSPM) |
record_format | Article |
series | Leida xuebao |
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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