一种基于数据场聚类的雷达信号分选算法

A Radar Signal Sorting Algorithm Based on Data Field Clustering

针对传统聚类算法在雷达信号分选中存在的一些问题,提出了一种基于数据场聚类的信号分选算法。首先所有数据样本经过归一化计算,根据数据场理论计算样本的势值,通过寻找极大值点及其个数确定初始聚类中心和聚类数目,之后重新计算聚类中心。通过对频率捷变雷达的实验仿真,验证了算法的有效性。

Aimed at some problems existing in radar signal sorting based on the traditional clustering algorithm, a new signal sorting algorithm based on data field clustering is proposed. All data samples are calculated for normalization. According to the data field theory calculation sample of potential value, the initial clustering center and number are determined by finding the maxima and its numbers, and the clus- ter centers are recalculated. The effectiveness of the proposed algorithm is verified through the experimen- tal simulation of frequency agility radar.