一种有长拖尾特性的G-分布海杂波模型  

A Model of G-Distributed Sea Clutter with Long Tails

作　　者：扈罗全[1] 王正斌[2] 

机构地区：[1]苏州出入境检验检疫局 [2]南京邮电大学数理学院,江苏南京210003

出　　处：《信号处理》2008年第5期730-732,共3页Journal of Signal Processing

基　　金：国家自然科学基金项目(No．60572024);教育部博士点基金项目(No．200509230031)

摘　　要：针对雷达海杂波概率密度函数的长拖尾特征,在K-分布杂波模型基础上提出一种新的描述海杂波的长拖尾分布G-分布。该分布是由二元Rayleigh独立积随机变量和广义x分布的随机变量进行级联而生成的三元独立积。使用Mel- lin变换方法得到G-分布概率密度函数的解析表达式。仿真结果表明G-分布的长拖尾特性比K-分布强。最后使用实验数据验证G-分布描述海杂波的有效性,并给出一种产生相关G-分布随机变量的方法,产生所需的相关随机变量。In order to model non-symmetric probability density function with long tail of sea clutter, a novel distribution with longer tail called G-distribution is proposed based on conventional K-distribution. As a product of three independent random variables, G-distribution is generated by using two independent Rayleigh variables multiplied by a X distributed random variable with n degrees of freedom. The closed-form expression of G-distribution is obtained through the Mellin transform method. The simulation results demonstrate that there is longer tail in G-distribution than that in K-distrlbution. The experimental data of sea clutter are utilized to prove the effectiveness of G-distribution. A method to generate correlated random variables of G-distribution is introduced, and the needed random variables are produced.

关 键 词：雷达杂波 独立积 非高斯分布 G-分布 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TQ533.1[自动化与计算机技术—计算机科学与技术]