Automatic sorting method of conventional communication signals based on clustering analysis
基于聚类分析的常规通信信号自动分选方法

To automatically sort conventional communication signals from interference surroundings, this paper proposed a clustering analysis based sorting method. The sorting method consisted of the following two key parts, measurement set partition and signal tracking. The first part identified narrowband signals included in measurement set which originated from the result of frequency detection and direction finding, and estimated the basic characteristic parameters of each signal. According to the characteristics of conventional communication signals, the second one was able to perform sequential clustering on the cha-racteristic parameters of all intercepted signals and delete interference signals. The simulation results show that the correct identification rate of the proposed partition method is better than 94% and this method can accurately estimate the characteristic parameters of each intercepted narrowband signal. The proposed sorting method is able to correctly sort conventional communication signals from interference surroundings.