Joint Delay Spread-Power Spectral Density Domain OMP Method based on Compressed Sensing

The serious multipath delay, obstacle interference, absorption reflection, serious time-varying characteristics and sparsity of the underground mine channel make it difficult for Orthogonal Frequency-Division Multiplexing(OFDM) channel estimation to obtain channel state information, resulting in poor communication reliability in the mine. Therefore, this paper proposes a joint delay spread-power spectral density domain Orthogonal Matching Pursuit(OMP) algorithm based on compressed sensing. The algorithm constructs a coefficient signal model in the delay spread-power spectral density domain through pilot observation signals, and then estimates the channel in the mine based on compressed sensing theory to obtain the channel state information at the current moment. Simulation shows that compared with the OMP algorithm, the algorithm improves the accuracy of signal reconstruction by 5% and better reduces the bit error rate.