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      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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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 December 2013
          : 2
          : 4
          : 461-465
          Affiliations
          [1 ] Institute of Engineering, Beijing Forestry University
          [2 ] Department of Electronic Engineering, Tsinghua University
          [3 ] Faculty of Science, Beijing Forestry University
          Article
          2dcb57cdbec54efbaf5d09f7dc113c4f
          10.3724/SP.J.1300.2013.13083

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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