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.


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    Title :

    Ground Moving Target Detection Using Beam-Doppler Image Feature Recognition


    Contributors:
    Geng, Zhe (author) / Deng, Hai (author) / Himed, Braham (author)


    Publication date :

    2018-10-01


    Size :

    2433350 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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