基于DBSCAN算法的目标聚类分选技术研究

Research on the Technology of Target Selecting by Clustering Based on DBSCAN Algorithm

为解决在无先验情报信息条件下复杂信号环境中目标分选困难的问题,提出了一种基于DBSCAN算法的目标聚类分选技术。该技术首先基于信号的位置信息进行聚类分选,再统计分选结果的电磁参数特性,并根据统计结果进一步自适应分选,最终获得目标雷达的电磁情报信息和精确定位结果。仿真结果验证了本技术正确有效。

In order to solve the problem of target selecting on the environment of complex signals without priori information, a Technology of Target Selecting by Clustering based on DBSCAN Algorithm is proposed.by the clustering processing based on the location of signals and further adaptive selecting according to the statistics on clustering results, we can get the accurate information and location of target radars.The simulation results verify the effectiveness and correctness.