Two simple tests are presented for classifying a set of clutter samples into either the log-normal or Weibull distribution. The results obtained by Monte Carlo simulation have shown that both of these tests are only slightly inferior to the test based on the ratio of maximized likelihoods. An application to constant false-alarm rate (CFAR) processing is also discussed.


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    Title :

    Discrimination Between Log-Normal and Weibull Clutter


    Contributors:

    Published in:

    Publication date :

    1977-09-01


    Size :

    1114927 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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