The Method of Achieving Simultaneous Channels Estimation on Distributed Compressed Sensing

Aiming at existing phenomenon of the correlation between channels in the wireless communication, we studied the simultaneous channel estimation method based on compressed sensing. By selecting multiple channels between nodes and cluster as the experiment object, we established the simultaneous channel estimation model in this paper, deduced the relationship of threshold with the signal noise rate (SNR), proposed the threshold adaptation-simultaneous orthogonal matching pursuit (TA-SOMP) algorithm for channel estimation, andccomplished the corresponding simulation experiments. The simulation results show that compared to the classical orthogonal matching pursuit (OMP) algorithm, the TA-SOMP algorithm has better performance of mean square error (MSE) and the received signal has lower bit error rate (BER). Under the same SNR, the TA-SOMP algorithm needs fewer pilots than OMP algorithm, which means the former can get higher band utilization rate.