In response to the problem of low estimation accuracy and poor robustness of traditional sparse adaptive matching and tracking algorithms in underwater acoustic channel estimation,a correlation constrained pre-estimation compressed sensing channel estimation method is proposed.In the atomic selection stage,correlation constraints and pre-estimation are used to optimize the sparse adaptive matching and tracking algorithm,avoiding the selection of correlated interference atoms and misplaced atoms,and reducing the accu-mulation of errors in the iterative process of the algorithm.In the orthogonal frequency division multiplexing communication system,the simulation analysis is carried out in combination with the measured deep-sea and shallow water channels.The results show that com-pared with the orthogonal matching pursuit algorithm,the communication bit error rate performance of the improved algorithm in this paper is increased by 4 dB and 2 dB respectively in the deep-sea and shallow water measured channels.
underwater acoustic communicationchannel estimationrobustnesscompressed sensingorthogonal frequency division mul-tiplexing
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