基于聚类分析的通联关系研究

Communication Connection Relations based on Cluster Analysis

基于反恐维稳等工作的安全需要,快速有效地分析目标区域的通信通联情况具有重要意义。对于某些加密的频谱资源环境,所侦获的海量频谱监测数据很难进行信号内容的分析和解调,所需成本大、代价高。因此,针对信号内容难以捕获等问题,对通信数据的物理特征和统计规律进行研究,利用聚类分析掌握目标区域的通信通联情况。实验结果表明,该方法能有效获得目标区域的通联关系。

Based on the security requirements of counter-terrorism and stability maintenance, it is of great significance to analyze the connection relations in the target area quickly and efficiently. For some encrypted spectrum resources and environments, it is difficult to analyze and demodulate the signal content from detected massive spectrum monitoring data, which requires a high cost. Therefore, aiming at the problem that signal content is hard to capture, the physical characteristics and statistical rules of communication data are explored, and cluster analysis is used to master the communication connection relations in the target area. Experimental results indicate that this method can effectively obtain the communication connection relations of the target area.