An innovative moving target detection approach termed as Beam-Doppler Image Feature Recognition (BDIFR) is introduced based on the distinction between moving target and ground clutter features in the beam-Doppler domain. A novel minimum-distance-based region-growing method is developed for radar target feature extraction and detection. The proposed BDIFR algorithm is advantageous over conventional space-time adaptive processing in detecting ground moving targets in inhomogeneous clutter environments since it does not require secondary training data for clutter estimation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Ground Moving Target Detection Using Beam-Doppler Image Feature Recognition


    Beteiligte:
    Geng, Zhe (Autor:in) / Deng, Hai (Autor:in) / Himed, Braham (Autor:in)


    Erscheinungsdatum :

    2018-10-01


    Format / Umfang :

    2433350 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Automatic target recognition of slow moving ground targets using stap

    Malas, J.A. / Pasala, K.M. / Westerkamp, J.J. | IEEE | 2003


    6.0503 Automatic Target Recognition of Slow Moving Ground Targets Using STAP

    Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003