基于人工鱼群聚类的雷达信号分选算法

随着科技的不断发展，各种新体制雷达的不断出现，使得电磁环境变得复杂多变，这就对雷达信号的处理提出了新的要求。目前普遍采用的基于直方图统计的信号分选方法已经不能满足当前雷达信号分选的要求。文中将人工鱼群聚类算法引入到雷达信号分选中，并对其进行了改进，对雷达信号分选进行了一种新的探索，该方法不需要雷达信号的先验知识，适用于处理未知雷达信号。通过仿真实验证明该算法分选准确率高，为雷达信号分选提供了新的思路。

Radar Signal Sorting Algorithm Based on Artificial Fish Swarm Clustering

As advanced radars increases rapidly in modern warfare, electromagnetic environment becomes more complicated, and radar signal sorting faces new challenges. The current signal sorting methods based on statistic histogram don＇t adapt modern radar signal environment more and more. In this paper, the artificial fish swarm algorithm is introduced into radar signal sorting. This method is a new way of radar sorting, and does not need prior knowledge of radar signals. It is suitable for sorting the unknown radar signal. The simulation shows that the method has good sorting result, providing a new way of radar signal sorting.