INCREASED ACCURACY OF THE NAKAGAMI M PARAMETER MEASUREMENT METHOD BASED ON SPACE DIVERSITY RECEPTION

In this paper we will present increased accuracy measurement method for the Nakagami-m m parameter estimation, based on implementation of space diversity reception. Parameter m will be estimated in real time, based on the obtained values of first, second and third order moments of signal, measured by a proposed system. The obtained results will show an increase of accuracy obtained by using this method over the results obtained by using a standard measurement procedure, so it creates a potential to apply this measurement method for estimation of fading parameters in various propagation environments

Application of nonlinear regression in recognizing distribution of signals in wireless channels

In many applications, it is important to recognise the distribution of empirical data in almost real time. One of the specific applications is the identification of statistical models for fading in wireless systems of the base station receivers. This is one of the most important problems in spatial diversity. In this paper, we describe the methodology and the results of a nonlinear regression approach for recognising the distribution of the input signal with the values of its parameters. Furthermore, the proposed approach could be used for the real-time recognition of the probability distributions without any prior knowledge about the input signal. To prove its performance, the LevenbergâMarquardt nonlinear least-squares algorithm is tested on a large set of randomly generated signals with the Gamma, Rayleigh, Rician, Nakagami-m, and Weibull distributions. The experimental results demonstrate that this approach is accurate in recognizing statistical distributions from the signal