Rapid and accurate threat evaluation(TE) of incoming targets is the key part in air defense. In order to evaluate the target threat effectively, a threat evaluation index system is constructed. On this basis, an improved kernel principal component analysis method (KPCA) based on hybrid kernel function is proposed to realize dimension reduction of the index data, particle swarm optimization (PSO) is utilized to optimize the parameters. The threat of targets is evaluated and ranked by the technique for order of reference by similarity to ideal solution method (TOPSIS) with the variance contributions of kernel principal components for weighing the processed data. The proposed method can avoid the subjectivity introduced by traditional methods and make dimension reduction of evaluation index data, thus decreasing the complexity of evaluation and improving real-time performance. The numerical experiment shows that the results obtained by this method are reasonable and realistic.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Threat Evaluation in Air Defense Based on Improved KPCA-TOPSIS


    Contributors:
    Liu, Xiaoma (author) / Han, Yang (author) / Qiu, Hongze (author) / Zheng, Zhiqiang (author)


    Publication date :

    2018-08-01


    Size :

    110086 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Air target threat evaluation based on RS-TOPSIS

    Yang, Yuanzhi / Yu, Lei / Zhou, Zhongliang et al. | British Library Online Contents | 2018


    DBSCAN Based Parameter Optimization of KPCA for Fault Diagnosis

    Shaojun, Liang / Xing, Zheng / Lipeng, Xie et al. | TIBKAT | 2022


    DBSCAN Based Parameter Optimization of KPCA for Fault Diagnosis

    Shaojun, Liang / Xing, Zheng / Lipeng, Xie et al. | Springer Verlag | 2021


    Research on the Evaluation of Lane-changing Models Based on Improved TOPSIS

    Zhang, Yuelou / Chen, Lingshan / Li, Ning | IEEE | 2025


    Multimodal recognition fusing ear and profile face based on KPCA

    Xu Xiaona, / Zhao Yue, / Pan Xiuqin, | IEEE | 2008