Clutter modeling for forward scatter radar (FSR) micro-sensor network with ultra high frequency (UHF) band

The clutter model for ultra high frequency (UHF) band for forward scatter radar (FSR) is developed in this paper using Log-Logistic distribution. The model follows maximum likelihood estimation (MLE) approach in finding the parameters for the distribution as well as root mean square error (RMSE) of the data between the clutter signal and statistical model as the goodness of fit (GOF) test. The model is then compared to four different distribution models, which are Log-Normal, Gamma, Weibull and Nakagami. The results of the comparisons show that Log-Logistic model best fits the clutter signal.