A New Channel Estimation Method Based on Distributed Compressed Sensing

In this paper, we propose a channel estimation scheme in orthogonal frequency-division multiplexing (OFDM) systems based on the recent methodology of distributed compressed sensing (DCS). The joint sparsity model 2 (JSM-2) in DCS theory and simultaneous orthogonal matching pursuit (SOMP) are both introduced to improve the estimation performance and increase the spectral efficiency. Simulation results indicate that compared to current compressed sensing (CS) methods, the estimation error of our proposed scheme is reduced dramatically at high SNR while the pilot number is still kept small.