Performance Analysis of the DD ML MIMO Channel Tracking Algorithm

In this paper, performance analysis of the decision directed (DD) maximum likelihood (ML) multiple-input multiple-output (MIMO) channel tracking algorithm is presented. The ML channel tracking algorithm presents efficient performance especially in the DD mode of the operation. Because of the nonlinear decision device, analysis of the DD based algorithms is very difficult. In this paper, first the decision error rate is computed for the known channel tracking error and then the channel tracking error is evaluated for the known decision error rate. The presented analysis is compared with the simulation results for different Doppler frequency shifts and SNRs, and it is shown that the analysis and simulation results are in a good match even for high rank MIMO channels and high Doppler shifts.