基于合成特征参数的雷达信号聚类分析  

Clustering analysis of radar-signals based on compositive characteristic parameters

作　　者：孟祥豪[1] 罗景青[1] 

机构地区：[1]解放军电子工程学院电子对抗信息处理重点实验室,安徽合肥230037

出　　处：《航天电子对抗》2011年第6期62-64,共3页Aerospace Electronic Warfare

摘　　要：针对截获的雷达辐射源脉冲数据提出了一种基于特征参数合成的聚类算法。算法利用全脉冲数据的特征参数,通过对每一个特征参数的分选计算出该参数的加权系数。通过加权系数对每一个特征参数的加权得到合成的特征参数,并利用合成参数对脉冲进行聚类。仿真试验表明该算法能够实现对信号的聚类分选,采用编码的方式有利于降低噪声的影响。A method of signal clustering is proposed based on the compositive characteristic parameters for radar emitter＇s integrated pulse data.It uses the characteristic values as statistic objects and calculated the weighting coefficient,and then it regards the characters＇ weighting value as the clustering object and clustered the pulses.The experiments and computer simulations show that the algorithm can cluster the signals accurately,at the same time,the experimental results show that coding method is propitious to reduce the influence of noise.

关 键 词：聚类分析 合成特征参数 加权系数 

分 类 号：TN957.51[电子电信—信号与信息处理]