The problem of parameter estimation for spatially correlated polarimetric ground clutter at millimeterwave frequencies

Most mathematical methods commonly used to estimate the parameters of a probability density function are based on the assumption of independent identically distributed (iid) data. However, the analysis of the reflectivity values of polarimetric ground clutter has shown that there may be a considerable amount of correlation depending on the type of clutter. For this analysis the estimated autocorrelation function, the Bartels test, and the runs up and down test for randomness are used.