Channel Estimation Based on Dual-path Reconstruction Algorithm

In the sparse channel estimation of Orthogonal Frequency Division Multiplexing (OFDM) systems, for any delay of the multipath channels, most of the channel estimation algorithms based on Compressed Sensing (CS) have only one estimate. In view of this situation, a Dual-path Reconstruction (DR) algorithm is proposed based on the Orthogonal Matching Pursuit with Binary-search Refinement (OMPBR) algorithm. When locating a time delay in the actual channel, the algorithm provides two estimators to estimate the time delay. Ideally, the actual time delay is in the middle of the two estimators, and the errors of the two estimators cancel each other out. Through theoretical analysis and simulation results, it is confirmed that the accuracy of channel estimation achieved by the DR algorithm is higher than that achieved by the OMPBR algorithm.