【摘要】 雷达型号识别是雷达对抗情报侦察的首要工作,是近一步分析雷达用途及相关武器系统的基础,也是高层次上的态势评估和威胁估计的主要依据。针对现代战争中电磁信号环境的复杂性,利用单一传感器很难对雷达型号进行准确识别,而基于确定性理论的不确定推理技术能将多个传感器在多个周期的侦察信息进行融合,所以采用确定性理论的数据融合技术,基于确定性理论的组合规则,采用分层式融合算法对雷达型号进行识别。仿真结果表明,该方法的识别结果令人满意,使采用单一传感器可能存在的无法识别或误识别等现象得到了明显的改善。更多还原

【Abstract】 The identification of radar types is the core task of radar counter-spy reconnaissance.It is the base for further analysis in radar application and related arm systems and provides the main foundation for high-level state evaluation and threat estimation.In modern wars,where electromagnetism signals environment becomes more complicated,single-sensor system fails to give correct identification of radar types,while certainty theory based uncertainty reasoning technology could combine reconnaissance information of multiple sensors in several periods.Based on certainty theory combinatorial rules,this paper applies layered fusion algorithm in radar types identification.Simulation results show that shortcomings and errors with single sensor systems have been conquered, which is quite satisfying.更多还原