Channel Estimation Algorithm Based on Compressed Sensing for Underwater Acoustic OFDM Communication System

According to underwater acoustic orthogonal frequency division multiplexing communication system, an underwater acoustic channel estimation algorithm based on compressed sensing is proposed in this paper, by making use of the natural sparse features of the underwater acoustic. The samples of the channel frequency response are obtained by inserting the two-dimensional pilot symbols according to linear interpolation with the channel-sensing on the basis of existing underwater acoustic OFDM communication system. And then a complete dictionary is designed. Finally, the underwater acoustic channel estimation is completed by using the compressive sampling matching pursuit algorithm. The simulation results show that the estimation accuracy of our algorithm is better than the conventional underwater acoustic estimation algorithm with lower computational complexity and higher stability at the same time. Therefore, our algorithm can be applied to practical underwater acoustic OFDM communication system preferably.