Joint Channel Estimation and OFDM Signals Detection Based on Total Least Square

In the light of the fact that the performance of the existing joint channel estimation and OFDM signals detection methods are poor, a novel joint channel estimation and OFDM signals detection algorithm using total least square is therefore proposed. Firstly, the initial channel information is obtained by performing the pilots. Then the total least square is employed in the OFDM signals detection and channel estimation, and as such the effect of iterative model error can be effectively alleviated. The proposed algorithm is able to accelerate the rate of convergence, improve the accuracy of the channel estimation, and sequentially reduce the bit error rate of the OFDM system. Both the derived Cramer Bound (CRB) of the channel estimation and simulation results show that this algorithm is better than the existing joint channel estimation and OFDM signals detection methods as well.