A method for estimating the parameters of K-distributed clutter when the available sample size of the data is limited is proposed. In this method, the arithmetic mean and geometric mean of the given data are used to estimate the model parameters. Expressions characterizing the performance of the proposed estimator are presented, along with some simulation results. For spiky clutter, simulations show that parameter estimates obtained from the arithmetic and geometric mean are approximately equal to the numerically evaluated maximum-likelihood (ML) estimates. The method is also used to estimate the parameter of the Weibull density.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A method for estimating parameters of K-distributed clutter


    Contributors:


    Publication date :

    1991-03-01


    Size :

    584680 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Weibull-Distributed Ground Clutter

    Sekine, M. / Ohtani, S. / Musha, T. et al. | IEEE | 1981


    On Weibull-Distributed Weather Clutter

    Sekine, Matsuo / Musha, Toshimitsu / Tomita, Yuichi et al. | IEEE | 1979


    Estimating Unknown Clutter Intensity for PHD Filter

    Feng Lian, / Chongzhao Han, / Weifeng Liu, | IEEE | 2010



    EVALUATION OF CLUTTER CORRELATION PARAMETERS

    D. I. Popov | DOAJ | 2017

    Free access