A Time-varying Sparse Underwater Acoustic Channel Estimation Method Based on Delay-Doppler Domain

Abstract

The invention relates to a time-varying sparse underwater acoustic channel estimation method based on delay Doppler domain. The method comprises the following steps: firstly performing delay Doppler domain modeling for a time-varying underwater acoustic channel to obtain a sparse two-dimension domain expression way; on the basis of the delay Doppler domain expression, iteratively optimizing to obtain a sparse underwater acoustic channel impulse response function of the delay Doppler domain by adopting a block-by-block training mode and combining a Schmidt orthogonal matching tracking algorithm, and constructing a minimum mean square error balancer based on the channel information by combining the estimated delay Doppler domain underwater acoustic channel information at a receiving end, thereby recovering a sending signal. The estimation method disclosed by the invention is suitable for the time-varying underwater acoustic channel estimation and underwater acoustic communication, an hasthe advantage that the matching atom is selected based on the Schmidt orthogonalization, the redundancy computation is effectively avoided, and the produced delay Doppler underwater acoustic channelestimation result has higher precision.

Description

Technical field[0001]The invention belongs to the fields of underwater acoustic communication and underwater acoustic signal processing, and relates to a time-diluted hydrophobic acoustic channel estimation method based on a time-delay Doppler domain. The estimation method will improve the estimation performance of the time-varying underwater acoustic channel.Background technique[0002]The problems of underwater acoustic channel estimation and underwater communication can be attributed to the impulse response function estimation optimization problem, which is used to estimate the sparse expression of the time-varying underwater acoustic channel based on the training sequence and the received signal. Currently, estimation methods for underwater acoustic channels include a finite impulse response framework and a block-by-block estimation framework in the time delay Doppler domain. For details of the algorithm of the finite impulse response framework, please refer to "New sparse adaptiv...

AI Technical Summary

Problems solved by technology

However, the underwater acoustic channel impulse response function of actual maritime data is not strictly sparse, so the current compressed sensing algorithm is difficult to directly apply

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