摘要
雷达脉冲信号的分选是电子战争中的研究热点,同时也是难点问题。针对雷达所截获的辐射源脉冲提出了一种基于合成特征参数值(CCP)的脉冲样本图分选算法。算法利用全脉冲数据的特征参数,根据每一个特征参数的差异性对特征参数值进行编号,通过编号值可以得到依据该特征参数值对脉冲的分类个数,进而计算出单一特征值的加权系数。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,然后结合每一类信号的脉冲到达时间,提出了脉冲样本图匹配分选的新算法。与传统的PRI分选相比,脉冲样本图分选具有较小的运算量,计算机仿真试验表明该算法能够实现对信号的分选。
The problem of sorting radar signals is a hotspot and difficulty for Electronic Warfare. This paper proposes a method of signal sorting based on compositive characteristic parameter and pulse pattern for radar emitter＇s integrates pulse data. It uses the characteristic values as statistic objects and calculats the weighting coefficient with the number of characteristic value, and then it regards the characters＇ weighting value and TOA as the sorting object and sorts the pulses with a new method based on pulse pattern. Compares to traditional PRI sorting method, this method based on pulse pattern has lesser computation. The experiments and computer simulations show that the algorithm can sort the signals accurately.
出处
《火力与指挥控制》
CSCD
北大核心
2012年第9期50-54,共5页
Fire Control & Command Control
基金
国防预研基金资助项目(9140A21030209JB3901)
关键词
信号分选
脉冲样本图
特征值编号
合成特征参数
sorting signals, pulse pattern, number of characteristic value,compositive characteristicparameter
