首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种有长拖尾特性的G-分布海杂波模型
引用本文:扈罗全,王正斌.一种有长拖尾特性的G-分布海杂波模型[J].信号处理,2008,24(5).
作者姓名:扈罗全  王正斌
作者单位:1. 苏州出入境检验检疫局,江苏苏州,215021;南京邮电大学通信与信患工程学院,江苏南京,210003
2. 南京邮电大学数理学院,江苏南京,210003
基金项目:国家自然科学基金,高等学校博士学科点专项科研项目
摘    要:针对雷达海杂波概率密度函数的长拖尾特征,在K一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Raylei#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.

关 键 词:雷达杂波  独立积  非高斯分布  G-分布

A Model of G-Distributed Sea Clutter with Long Tails
HU Luo-quan,WANG Zheng-bin.A Model of G-Distributed Sea Clutter with Long Tails[J].Signal Processing,2008,24(5).
Authors:HU Luo-quan  WANG Zheng-bin
Abstract:In order to model non-symmetric probability density function with long tail of sea clutter,a novel distribution with lon- ger 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 demon- strate that there is longer tail in G-distribution than that in K-distribution.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.
Keywords:radar clutter  product of independent random variables  non-Gaussian distribution  G-distribution
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号