针对复杂的雷达电磁环境,传统的五参数已经不能满足分选的需要,增加分选参数对提高信号分选性能是十分有必要的,对此提出了一种利用脉压特征进行雷达信号分选的方法。在脉冲信号成功检测的前提下,可以将任意脉冲作为参考脉冲,与其余脉冲进行脉冲压缩操作,利用最大恒虚警率对脉冲压缩结果进行检测得到门限,通过脉压幅度特征与门限的比较,判断两脉冲是否为同一部雷达信号。结合传统信号分选流程,文中方法可以应用到参数不稳定的且传统信号分选方法无法有效分选的剩余脉冲的分选中。使用实采线性调频信号,在低信噪比情况下,文中方法能够有效对参数不稳定的脉冲进行分选,同时不需要为主分选过程计算脉冲重复周期,具有对接收脉冲数要求低、对抖动不敏感的特点。

In view of the complex radar electromagnetic environment, the traditional sorting methods based on five parameters can not meet the requirements, so it is necessary to increase parameters to improve the accuracy of signal sorting. Therefore, a novel method of radar signal sorting based on pulse compression characteristics is proposed. On the premise of successful detection of pulse signal, randomly selected pulse can be used as a reference pulse, and the rest of pulses can be compressed. GO-CFAR is used to detect the pulse compression results to get the threshold. By comparing the amplitude characteristics of pulse compression with the threshold, it can be judged whether this two pulses belong to the same radar source. Combined with the traditional signal sorting process, this method can be applied to the sorting of remaining pulses whose parameters are unstable and cannot be effectively sorted by conventional signal sorting methods. The method is verified by using sampled LFM signals, which can successfully be sorted under conditions of unstable parameters and low SNR. Meanwhile, PRI calculation for main sorting is not needed. This algorithm has the characteristics of low requirements of the number of received pulses and insensitivity to jitter signals.

TN957.51

国防科技基础加强计划(2019-JCJQ-ZD-067-00)