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针对通信对抗系统多传感器侦察数据仓库中数据量大且不完整、不准确的特点,文中提出了一种基于粗糙集理论进行初级融合处理的方法。该方法利用粗糙集知识分类的功能对海量数据进行层层处理,去除冗余信息提高参数精度。仿真分析结果表明,这种算法能为进一步融合处理提供条件,在通信对抗情报分析中有很高的工程应用价值。
Aiming at the characteristics of large amount of data and incompleteness in the multi-sensor reconnaissance data warehouse of communication countermeasure system, a method of primary fusion based on rough set theory is proposed in this paper. The method uses the function of rough set knowledge classification to process the massive data layer by layer, removing the redundant information to improve the parameter precision. Simulation results show that this algorithm can provide conditions for further integration and processing, and has high engineering value in the analysis of communication countermeasure intelligence.