基于数据场的未知雷达信号动态聚类算法

Dynamic Algorithm Based on Data Field for Deinterleaving Unknown Radar Signals

未知雷达信号分选一直是雷达对抗情报处理中的难题。通过引入势和场强的概念,提出了一种基于数据场的未知雷达信号聚类算法。该方法通过设置势值门限来剔除噪声,同时设置场强门限进行聚类。该方法可以达到自动确定聚类数目和聚类中心的目的。仿真试验表明,该方法能够有效适应于未知雷达信号的分选。

Unknown radar signal sorting is always a problem of radar countermeasure. So a new signal sorting method based on data potential field through importing the conception of power and field intensity is proposed. The method can eliminate noise through setting a power threshold and finish sorting through setting field intensity threshold. This method can determine the cluster number and centre automatically. In the end, computer simulation results show that the proposed approach can effectively sort the radar emitter signals.