机载RWR/ESM中改进最近邻算法的分频段辐射源识别

摘要

当前战场环境复杂，机载RWR/ESM要求对辐射源快速识别。由于机载RWR/ESM设备计算能力有限，传统识别中采用的线性匹配算法耗时长，已经不适应当前战场环境。结合RWR设备的分频段体制提出分频段划分雷达样本库，库内采用频率优先最近邻算法以降低计算时间。仿真对比了改进最近邻分频段方法与线性匹配方法的计算时间，结果表明了该方法的有效性。%The electromagnetic environments of war-field are intricate and complex,RWR/ESM (Radar Warning Receiver/Electronic Support Measure)must recognize the radar emitter signal in short time. Because the computing ability of RWR/ESM is limited by the hardware,the traditional liner matching algorithm of radar emitter recognition needs a long time ,which can not adapt to the electromagnetic environments of war-field. RWR system based on frequency dividing receiver what can be used to the radar sample database and use nearest neighbor algorithm to decrease the computing time. Compared the computing time of the tradition liner matching algorithm and nearest neighbor mating algorithm as frequency at first,the results of simulation shows that the frequency first nearest neighbor mating algorithm is efficient.