Adaptive sparse channel estimator for OFDM systems

An adaptive sparse channel estimator based on compressive sensing for OFDM systems is proposed. Unlike conventional compressive channel estimator with a prior knowledge of the channel spaisity, the proposed channel estimator can extract information on sparsity of the channel adaptively by introducing the ASMP algorithm. Moreover, the proposed channel estimator has a superior estimate performance due to the backtracking refinement process in the ASMP algorithm. The estimation performance for the sparse channel is analysis in terms of mean square error (MSE). Simulation results demonstrate substantial performance gains of the proposed estimator over conventional compressive channel estimator.