  In this paper, the performance of decision directed (DD) maximum likelihood
(ML) channel tracking algorithm is analyzed. The ML channel tracking algorithm
presents efficient performance especially in the decision directed mode of the
operation. In this paper, after introducing the method for analysis of DD
algorithms, the performance of ML Multiple-Input Multiple-Output (MIMO) channel
tracking algorithm in the DD mode of operation is analyzed. In this method
channel tracking error is evaluated for given decision error rate. Then, the
decision error rate is approximated for given channel tracking error. By
solving these two derived equations jointly, both the decision error rate and
the channel tracking error are computed. The presented analysis is compared
with simulation results for different channel ranks, Doppler frequency shifts,
and SNRs, and it is shown that the analysis is a good match for simulation
results especially in high rank MIMO channels and high Doppler shifts.
