一种基于MDL原理的信号分选新算法

摘要

研究了一种基于脉内调制特征的雷达信号聚类分选算法，该聚类分选算法根据最小描述长度（Minimum description length ，MDL）原理判定数据源中存在数据类的数量，以及任一向量应该归属于哪一类，从而确定电磁信号环境中雷达辐射源的数量，并完成脉冲信号的分选处理。该算法将截获系统前端对雷达脉冲信号的采集数据视为脉冲向量，在对雷达脉冲向量进行必要的预处理后，进行聚类分选处理。来自不同雷达的脉冲信号由于它们的脉内调制（有意或无意调制）特征不同，聚类处理后将会形成不同的脉冲向量类。该算法的优势在于无需进行信号脉内特征的定量分析、提取和描述等处理。计算机仿真验证了该算法的有效性。%A new radar pulse signal clustering algorithm based on inner‐pulse modulation characteristic is studied .The number of clusters in original data and the cluster that data vector belongs to is determined by clustering algorithm using the minimum description length (MDL) ,thus obtaining the number of ra‐dar emitters in the electromagnetic environment .The radar pulse data collected by the interception sys‐tem front‐end is treated as vectors and is sorted after the necessary pre‐processing .Pulse signals from different radars form different vector clusters after deinterleaving by using the algorithm based on MDL criterion ,because of their different inner‐pulse modulation characteristic .The largest advantage of the al‐gorithm is that it is unnecessory for quantitative analysis ,extraction and description of the inner‐pulse modulation characteristic .Simulation proves its effective .