A multipath interference cancellation based two-stage channel estimation method for wireless communications

In this paper, a novel multipath interference cancellation based two-stage channel estimation (MIC-2SCE) method is proposed. In the first stage, a conventional channel estimation method based on the normal training sequence was used to estimate the channel impulse response (CIR). After the maximum channel memory and the effective paths were estimated, they were used to locate the uncorrupted data in the received training sequence and reconstruct the individual path data of each effective path in the second stage. In this stage, the individual path interference could be calculated and the individual path signal could be extracted from the received signal. Finally, the individual path signal was used to correlate with the corresponding data in the training sequence to obtain the fine-tuned CIR. Both theoretical analysis and computer simulations were done to verify the efficiency of the proposed method. Computer simulation results confirmed the analytical results and demonstrated that the proposed MIC-2SCE method outperformed the conventional single-stage channel estimation method.