A Six-state Markov model for LMS Channels1

摘要

This paper introduces a model with a six-state Markov chain, which can be used to predict the states of the LMS channel. Through simulating by using Lutz model as shadow models. Transpose matrix was obtained through statistic analysis and the state series are generated and simulated. We can make a conclusion that the model expresses not only the character of Gilbert-Elliott two-state channel, but also that of sub-state. So it can express the character of channel sufficiently under complex environment.