Mobile channel model estimators and their performance evaluation using computer simulation

In a mobile communication environment the received signals are corrupted with noise in the communication channel. This noise can be modeled mathematically according to the channel characteristics by one of several channel models. In this paper, a channel model estimator based on the Chi-square test is presented. This estimator recognizes an appropriate statistical channel model based on the best matched probability distribution during the observed period. Computer simulation is used to examine the performance of this channel model estimator where data from several channel models have been tested. Satisfactory results have been obtained through this approach