This paper develops a tracking algorithm for maneuvering target based on fuzzy logic inference (FMMTA). In place of the model probability computed intricately in the IMM, filtering measurement innovations are tackled with the innovation covariance, and the results are used as the input to a fuzzy inference system to get the matched degrees for each filtering model in the model set designed. With the matched degrees, the estimation from each filtering is weighted to obtain the maneuvering target's overall estimation and its covariance. The performance of FMMTA is tested via Monte Carlo simulation, and the result expresses its validity and its promise.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fuzzy multiple model tracking algorithm for manoeuvring target


    Beteiligte:
    Dongguang Zuo, (Autor:in) / Chongzhao Han, (Autor:in) / Zheng Lin, (Autor:in) / Hongyan Zhu, (Autor:in) / Han Hong, (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    301532 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fuzzy Multiple Model Tracking Algorithm for Manoeuvring Target

    Dongguang, Z. / Chongzhao, H. / Lin, Z. | British Library Online Contents | 2002


    Tracking a 3D Manoeuvring Target with Variable-Dimension Algorithm

    Bahnasawi, A. A. | British Library Online Contents | 1995



    Tracking Manoeuvring Aircraft by Interacting Multiple Model Filters

    Angelova, D. S. / Jilkov, V. P. / Semerdjiev, T. A. | British Library Online Contents | 1996