基于反高斯分布的复合高斯海杂波建模:基于反高斯分布的复合高斯海杂波建模

Q2 Physics and Astronomy
Yan Liang, Sun Pei-lin, Yi Lei, Han Ning, Tang Jun
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引用次数: 9

摘要

复合高斯分布被广泛用于非高斯杂波的建模,因为它的纹理分量描述了杂波的非高斯特性。本文提出了一种具有反高斯纹理分布的CG模型,即反高斯复合高斯(IG-CG)分布,并推导了其分布特性。对IPIX雷达湖杂波测量结果进行了分析,结果表明,双参数IG-CG分布模型比单参数IG-CG分布模型或K分布模型更符合实际雷达数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of Compound-Gaussian Sea Clutter Based on an Inverse Gaussian Distribution: Modeling of Compound-Gaussian Sea Clutter Based on an Inverse Gaussian Distribution
The Compound-Gaussian (CG) distribution is widely used for modeling non-Gaussian clutter, as its texture component describes the non-Gaussian properties of the clutter. In this paper, a CG model with an inverse-Gaussian texture distribution, called the Inverse-Gaussian Compound-Gaussian (IG-CG) distribution, is proposed, and its distributional properties are derived. IPIX radar lake-clutter measurements have been analyzed, and the results show that the two-parameter IG-CG distribution model fits real radar data better than a single parameter IG-CG distribution model or a K distribution model.
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来源期刊
雷达学报
雷达学报 Physics and Astronomy-Instrumentation
CiteScore
4.10
自引率
0.00%
发文量
882
期刊介绍: Journal of Radars was founded in 2012 by the Institute of Space and Astronautical Information Innovation of the Chinese Academy of Sciences (formerly the Institute of Electronics) and the China Radar Industry Association (CRIA), which is located in the high-end academic journal and academic exchange platform in the field of radar, and is committed to promoting and leading the scientific and technological development in the field of radar. The journal can publish Chinese papers and English papers, and is now a bimonthly journal. Journal of Radars focuses on theory, originality and foresight, and its scope of coverage mainly includes: radar theory and system, radar signal and data processing technology, radar imaging technology, radar identification and application technology. Journal of Radars has been included in domestic core journals and foreign Scopus, Ei and other databases, and was selected as ‘China's high-quality science and technology journals’, and ranked the first in the category of electronic technology and communication technology in the ‘Chinese Core Journals List (2023 Edition)’.
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