Closed-form parameter estimators for Pareto distributed clutter with noise

Closed-form parameter estimators are obtained for Pareto distributed clutter with noise. The estimators consist of simple combinations of data moments, with no special functions, but they are only applicable to multilook data, because they make use of the harmonic mean, which is zero for the single-look clutter plus noise distribution. They have been tested on simulated two-look clutter and noise data. The closed-form estimators have about the same accuracy as the numerically solved z log z estimators obtained in previous work, but they are much simpler and quicker to compute.