Mobile Radio Channels Modeling in MATLAB
5页1、12 N. KOSTOV, MOBILE RADIO CHANNELS MODELING IN MATLAB Mobile Radio Channels Modeling in MATLAB Nikolay KOSTOV Department of Radio Engineering, Technical University of Varna, Student 1, 9010 Varna, Bulgaria n_kostovmail.bg Abstract. In this paper, a MATLAB based approach for mobile radio channels modeling is presented. Specifically, the paper introduces the basic concepts for modeling flat fading channels in MATLAB by means of user-defined m-files. Typical small-scale fading channel models are d
2、eri-ved such as uncorrelated Rician fading channel and Ray-leigh fading channel with Doppler shift. Further, simple and useful MATLAB constructions for approximation of cumulative distribution functions (CDFs) and probability density functions (PDFs) are also given. Finally, a MAT-LAB based Monte Carlo simulation example is presented, which comprises performance estimation of phase shift keying (PSK) signaling over a Rician fading channel. Keywords MATLAB, fading channels, distribution, simulati
3、on. 1. Introduction In digital communication theory the most frequently assumed model for a transmission channel is the additive white Gaussian noise (AWGN) channel. However, for ma-ny communication systems the AWGN channel is a poor model, and one must resort to more precise and complica-ted channel models. One basic type of non-Gaussian chan-nel, which frequently occurs in practice, is the fading chan-nel. A typical example of such a fading channel is the mo-bile radio channel, where the small
4、 antennas of portable units pick up multipath reflections. Thus, the mobile chan-nel exhibits a time varying behavior in the received signal energy, which is called fading. Using MATLAB for digital communication systems simulation one has the advantage of exploiting the power-ful features of its Communications Toolbox along with a nice programming language. However, the Communica-tions Toolbox of MATLAB suffers from absence of proper mobile channel models. The only available channel model in the
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