雷达信号的模糊聚类分选方法

Fuzzy Cluster Sorting Method of Radar Signals

随着现代电子战的激烈对抗,复杂体制雷达迅速增加并逐渐占居主导地位,侦察接收机接收到的雷达信号更加复杂和密集。为克服传统信号分选算法的局限性,采用基于模糊聚类分析的雷达脉冲信号分选方法,此方法能利用雷达信号的特征参数有效地分选出非常规和常规雷达信号。首先介绍模糊聚类的基本原理,并进行信号分选仿真实验。仿真结果证明分选结果较理想,验证了此方法的有效性和可行性。该方法易编程实现,适用于处理大量数据,是一种解决密集复杂脉冲信号分选问题的新途径。

As countermeasure activities in modern electronic warfare become more and more drastic, advanced radars increase rapidly and play an important role in this area. The radar signals received by the reconnaissance receiver are complicated and intensive. In order to overcome the limitation of traditional radar signal sorting algorithm, a radar pulse signal sorting method based on fuzzy clustering analysis is presented in this paper. The method can sort conventional and unconventional radar signal effectively by making use of the characteristic parameters of the radar signals. The basic principle of fuzzy clustering and the simulation experiment are introduced. The simulation show that the method is effective and feasible. The method overcomes the difficulty of programming and fits for processing a large amount of data. It provides a new way to solve sorting problems of dense and complicated pulse signals.