基于模糊函数的雷达辐射源信号分选新方法  

A novel method for sorting radar emitter signal based on the ambiguity function

作　　者：韩俊[1] 何明浩[1] 尹以新[1] 魏铭[1] 

机构地区：[1]空军雷达学院,湖北武汉430019

出　　处：《航天电子对抗》2009年第4期35-38,共4页Aerospace Electronic Warfare

基　　金：电子对抗国防科技重点实验室资助基金(9140C1006090804)

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%。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 di- mensions 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. For ambiguity function of different signal is distinguishing and it is not sensitive to SNR, the WPT is divisible and steady. The advantage of this new method is validated by simulation results,and the lowest sorting rate is 90% at SNR = 10dB.

关 键 词：分选 模糊函数 小波包变换 信噪比 

分 类 号：TN957.5[电子电信—信号与信息处理]