This study considers the clutter suppression and feature extraction of multiple moving targets for airborne high range resolution (HRR) phased array radar. To avoid the range migration problems that occur in the HRR radar data, we divide each HRR profile into nonoverlapping low range resolution segments. No information is lost due to the division and hence no loss of resolution occurs. We show how to use a vector auto-regressive filtering technique to suppress the clutter. Then a relaxation-based parameter estimation algorithm is presented for multiple moving target feature extraction. Numerical results are given to demonstrate the effectiveness of the algorithm.


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    Title :

    Multiple moving target feature extraction for airborne HRR radar


    Contributors:
    Nanzhi Jiang, (author) / Jian Li, (author)


    Publication date :

    2001-10-01


    Size :

    509766 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Multiple moving target feature extraction for airborne HRR radar

    Jiang, Nanzhi / Li, Jian | Tema Archive | 2001




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