基于灰关联分析和粗糙集的通信电台识别方法

通信侦察过程积累了大量电台通信记录,对这些数据进行分析、推理,可以识别电台的数量、装载平台等,为了提高识别正确率,提出了基于灰关联分析和粗糙集的通信电台识别方法。首先,依据粗糙集理论将信息表划分等价类,得到电台航迹;再根据灰关联分析计算雷达航迹和电台航迹的灰关联度,最后按照最大灰关联度原则进行通信电台关联。实验结果表明该方法适用范围更广,在多个平台的运动轨迹交叉且在交叉时刻各有电台通联、同一平台上的多个电台在不同时间通联这两种情况下,均能较好地对电台进行关联。

A Method of Communication Station Recognition Based on Grey Relational Analysis and Rough Set

Analysing data of communication reconnaissance will help to recognise the quantity and platform of communication stations.A method of communication station recognition based on grey relational analysis and rough set is proposed for the purpose of enhancing accuracy.Firstly,information table is divided by indiscernibility relation according to rough set theory to obtain communication station tracks;Then gray relational degreesbetween radar tracks and radio station tracks are computed;Finally,corelation of communication stations is analysed according to maximum gray relational degree principle. The experiment result shows that this method has good performance,particularly inthe following two cases:radio stations are sending signalsnear the junction of their trajectories and radio stations from the same platform work at different time periods.