Simulation of Inverse Gaussian Compound Gaussian distribution Sea Clutter Based on SIRP

Lei Yi, Liang Yan, Ning Han
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引用次数: 7

Abstract

Modeling and simulating of sea clutter is the research focus in theoretical field of radar signal processing all the time and it has important application in technology of CFAR detection. This paper introduces the statistical properties of Inverse Gaussian Compound Gaussian distribution (IG-CG) and according to theory of spherically invariant random process (SIRP), proposes a simulating method of radar clutter based on IG-CG model. The results of experiment proved that random vectors generated by the method fit theoretical clutters of IG-CG distribution both in amplitude aspect and power spectral density aspect. Through the test of chi-square goodness of fit, random vectors satisfy theoretical distribution under confidence interval 0.95.
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基于SIRP的逆高斯复合高斯分布海杂波仿真
海杂波的建模与仿真一直是雷达信号处理理论领域的研究热点,在CFAR探测技术中有着重要的应用。介绍了逆高斯复合高斯分布(IG-CG)的统计特性,根据球不变随机过程(SIRP)理论,提出了一种基于IG-CG模型的雷达杂波仿真方法。实验结果表明,该方法生成的随机矢量在振幅和功率谱密度方面都符合IG-CG分布的理论杂波。通过卡方拟合优度检验,随机向量在置信区间0.95下满足理论分布。
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