In order to ensure the accuracy and rationality of information processing in the process of multi-sensor multi-target tracking and multi-sensor information fusion, and to establish the correct correspondence between multi-sensor measurement data and interested targets, a target association method based on fuzzy membership function and Hungarian algorithm is proposed. This method adopts fuzzy inference technology to perform fuzzy membership analysis on the sensor measurement data, and establishes a fuzzy association matrix as a basis for target association through membership function. With the minimization of membership as a constraint, the Hungarian algorithm is used to obtain the optimal matching scheme for multiple target associations. Simulation test results show that the method is simple and effective and suitable for engineering practice.


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    Titel :

    Target Association Method Based on Fuzzy Membership and Hungary Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Wang, Yazhuo (Autor:in) / Zhao, Yingce (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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    Nagy, E. | British Library Conference Proceedings | 2012



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