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.<>
A method for estimating parameters of K-distributed clutter
IEEE Transactions on Aerospace and Electronic Systems ; 27 , 2 ; 238-246
1991-03-01
584680 byte
Article (Journal)
Electronic Resource
English
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