吴鑫, 伍友利, 牛得清, 刘同鑫, 蔡宇轩, 许瑞. 基于主成分-层次分析的红外抗干扰评估方法研究[J]. 红外与激光工程, 2021, 50(11): 20210060. DOI: 10.3788/IRLA20210060
引用本文: 吴鑫, 伍友利, 牛得清, 刘同鑫, 蔡宇轩, 许瑞. 基于主成分-层次分析的红外抗干扰评估方法研究[J]. 红外与激光工程, 2021, 50(11): 20210060. DOI: 10.3788/IRLA20210060
Wu Xin, Wu Youli, Niu Deqing, Liu Tongxin, Cai Yuxuan, Xu Rui. Research on infrared anti-jamming evaluation method based on principal component-analytic hierarchy process[J]. Infrared and Laser Engineering, 2021, 50(11): 20210060. DOI: 10.3788/IRLA20210060
Citation: Wu Xin, Wu Youli, Niu Deqing, Liu Tongxin, Cai Yuxuan, Xu Rui. Research on infrared anti-jamming evaluation method based on principal component-analytic hierarchy process[J]. Infrared and Laser Engineering, 2021, 50(11): 20210060. DOI: 10.3788/IRLA20210060

基于主成分-层次分析的红外抗干扰评估方法研究

Research on infrared anti-jamming evaluation method based on principal component-analytic hierarchy process

  • 摘要: 为了提高红外抗干扰评估的客观性以及准确性,针对层次分析法评估红外抗干扰能力过程中构建判别矩阵主观因素过强的问题,提出了一种基于主成分-层次分析(analytic hierarchy process, AHP)的红外抗干扰评估方法。首先利用主成分分析(principal component analysis, PCA)法求解指标之间的相关系数矩阵,提出平均影响度这一指标;然后通过平均影响度大小,根据既定的调整规则调整判别矩阵;最后利用红外抗干扰仿真数据,结合调整后的判别矩阵进行层次分析,建立主成分-层次分析红外抗干扰评估模型。仿真结果表明:该模型可以较好地评价相应干扰环境下红外对抗的评估结果,使得对抗结果与评估打分呈负相关且打分结果以均线E=1.0为界,导弹命中则评估结果均在均线以上,可以较为直观地观察在该对抗条件下的红外抗干扰评估结果。

     

    Abstract: In order to improve the objectivity and accuracy of infrared anti-jamming evaluation, aiming at the problem that the subjective factors of discriminant matrix are too strong in the process of evaluating infrared anti-jamming ability by analytic hierarchy process (AHP), an infrared anti-jamming evaluation method based on principal component-analytic hierarchy process was proposed. Firstly, the correlation coefficient matrix between indexes was solved by principal component analysis (PCA), and the index of average influence degree was put forward. Then, through this index value, the discriminant matrix was adjusted according to the established adjustment rules. Finally, using the infrared anti-jamming simulation data, combined with the adjusted discriminant matrix for AHP, the principal component-analytic hierarchy process infrared anti-jamming evaluation model was established. The simulation results show that the model can better evaluate the evaluation results of infrared countermeasure in the corresponding jamming environment, there is a negative correlation between the confrontation result and the evaluation score. The score is bounded by the E=1.0, and the evaluation results of missile hit are all above the average. The evaluation result of infrared anti-jamming under this countermeasure condition can be observed intuitively.

     

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