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为满足复杂电磁环境下战机对辐射源威胁等级判定算法的需求,将粗糙集理论引入对雷达辐射源威胁评估中,并结合信息熵理论构建一套完备的计算威胁度量值的数据处理模型,实现对辐射源威胁程度的定量表示,直观地评估辐射源的威胁程度。经典粗糙集理论难以应对在没有决策信息条件下的决策问题,采用信息熵的方法求取最大权重属性替代决策属性,拓展粗糙集的适用范围。模型直接基于数据驱动得到辐射源的威胁度量值,易于实现并具备良好的时效性,减少系统对先验信息的要求与主观赋值带来的影响。仿真结果表明,该方法可以快速、准确地实现对辐射源威胁的评估。
In order to meet the requirements of fighter aircraft’s threat level judgment algorithm under complex electromagnetic environment, the rough set theory is introduced into the threat assessment of radar emitter, and a set of complete data processing model of computing threat measure value is constructed based on information entropy theory. The quantification of the degree of threat to radiation sources provides a visual assessment of the level of threat from radiation sources. Classical rough set theory is difficult to deal with the decision-making under the condition of no decision-making information, and adopts the method of information entropy to get the most weight attribute instead of decision attribute and expand the scope of rough set. The model is directly based on data-driven measurements of the threat of radiation sources, easy to implement and have good timeliness and reduce the impact of the system on the prior information requirements and subjective assignment. Simulation results show that this method can quickly and accurately evaluate the threat of radiation source.