FSR ground clutter distribution model analysis for VHF band

In this paper, the measured clutter data using forward scatter radar (FSR) micro-sensor network with very high frequency (VHF) band operating frequency is modelled using five different probability distribution functions (PDF) namely Gamma, Log-Logistic, Log-Normal, Weibull and Nakagami. Maximum likelihood estimation (MLE) is used to estimate the parameters of each distribution. The clutter models are then being compared and the performance of the distribution models is evaluated using the root mean square error (RMSE) approach of goodness of fit (GOF) test. The results obtained suggest that Gamma distribution is found to be the most accurate model for this analysis by achieving the nearest curve fitting to the clutter data and smallest RMSE among other four distributions.