“…From visually inspecting Figure 5, it is clear that Rician distribution is found suitable to model the measured data. There are several estimation methods have been developed to determine parameters of the sample such as method of moments (Hao & Tsai, 2011), method of weighted least square (Liu, Ding, & Shi, 2012), maximum likelihood estimation (MLE) (Liu, Xu, & Chen, 2011) and estimation algorithms as presented in (Vizireanu, 2012;Vizireanu & Halunga, 2011). In this work, the theoretical parameters of this distribution are estimated using the MLE method, while the root mean square (RMS) error (E rms ) calculation is used to assess the degree of agreement between the measured data distributions and the theoretical calculation.…”