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基于模糊函数的雷达辐射源信号分选新方法
引用本文:韩俊,何明浩,尹以新,魏铭.基于模糊函数的雷达辐射源信号分选新方法[J].航天电子对抗,2009,25(4):35-38.
作者姓名:韩俊  何明浩  尹以新  魏铭
作者单位:空军雷达学院,湖北,武汉,430019
基金项目:电子对抗国防科技重点实验室资助基金 
摘    要:当前的雷达辐射源信号分选方法存在准确率不高和对噪声敏感的问题,对此,提出一种新的分选算法。对接收到的信号首先求取其模糊函数,并将其简化为二维特征图,然后对该二维特征图进行小波包分解,得到八维小波包变换特征(WPT),最后将类间分离度最优的第二维小波包变换特征Wpt2和第五维小波包变换特征Wpt5作为分选的特征参数。由于不同信号的模糊函数区别较大且受噪声的影响小,因此转换后的WPT可分性强、稳定度高;大量的仿真验证了新方法的优越性,在信噪比为10dB时,分选准确率最低为90%。

关 键 词:分选  模糊函数  小波包变换  信噪比

A novel method for sorting radar emitter signal based on the ambiguity function
Ha Jun,He Minghao,Yin Yixin,Wei Ming.A novel method for sorting radar emitter signal based on the ambiguity function[J].Aerospace Electronic Warfare,2009,25(4):35-38.
Authors:Ha Jun  He Minghao  Yin Yixin  Wei Ming
Institution:Air Force Radar Academy;Wuhan 430019;Hubei;China
Abstract:Sorting rate of current methods is not high and they are sensitive to the signal noise ratio(SNR).In order to solve these problems,a novel sorting algorithm for radar emitter is proposed.The ambiguity function of received signal is extracted and it is predigested to two dimensions characteristic,then the two dimensions characteristic is decomposed into eight dimensions wavelet package transformation characteristic(WPT),and the and that have the best separability are used as the sorting parameters at last.Fo...
Keywords:sorting  ambiguity function  wavelet package transformation  SNR  
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