A Modified MIMO Channel Estimation Method Based on Superimposed Training Sequence

A modified MIMO channel estimation method based on superimposed training sequence was proposed for the frequency selective channel. By exploiting the uncorrelation between the training and information sequences, accurate primary channel parameters could be obtained without loss of bandwidth, and using weight factor averaged neighboring channel parameters. This mew method was presented to track the time-varying channel. Compared with the existing approaches, the method was able to achieve lower NMSE, and applicable to time-varying channel tracking. The simulation results show the effectiveness of the proposed method.