基于模糊聚类的雷达信号分选

A Study on Sorting of Radar-Signals Based on Fuzzy Clustering

为克服传统信号分选算法的局限性,采用了基于模糊聚类分析的雷达脉冲信号分选方法。首先介绍了模糊聚类的基本原理和具体步骤,利用熵权法对不同雷达信号特征参数增加了加权系数,其次建立了有效性评价模型来确定最佳聚类,并进行了信号分选仿真实验。利用该方法进行模糊聚类时无需设置阈值,仿真结果证明分选方法的正确性,验证了此方法的有效性和可行性。该方法能够处理多个雷达脉冲信号,是一种解决多脉冲信号分选问题的新途径。

In order to overcome the limitation of traditional radar-signals sorting algorithm, a radar pulse signal sorting method based on fuzzy clustering is presented. Firstly, the basic principle and steps of fuzzy clustering are introduced. The weights of parameters are determined according to entropy. The model of effective evaluation is built to determine the best sorting. Finally, the experiment is simulated. The simulation shows that the method is effective and feasible. The method fits for processing a large amount of data. It provides a new way to solve sorting problems of dense and complicated pulse signals.