Grid optimization based methods for estimating and tracking doubly spread underwater acoustic channels

In this paper, the methods for estimating and tracking sparse doubly spread channels in single-carrier coherent communications are investigated. The sparse doubly spread channel is parameterized by a few paths with different delays, Doppler scales, and gains. Based on the model, a low-complexity cha...

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Bibliographic Details
Published inOCEANS 2016 - Shanghai pp. 1 - 8
Main Authors Ye Qin, Shefeng Yan, Zhuqing Yuan, Lijun Xu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2016
Subjects
Acoustics
Channel estimation
channel tracking
Complexity theory
Delays
Doppler effect
Estimation
grid optimization
sparse doubly spread channels
Training
underwater acoustic channels
underwater acoustic communications
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Summary:In this paper, the methods for estimating and tracking sparse doubly spread channels in single-carrier coherent communications are investigated. The sparse doubly spread channel is parameterized by a few paths with different delays, Doppler scales, and gains. Based on the model, a low-complexity channel estimation algorithm is proposed. The channel estimation is divided into two stages, the first for path delays, and the second for the corresponding residual Dopplers and gains. In either stage, parameters are estimated iteratively with the help of adaptive grid optimization, which can dramatically reduce computational complexity. We also propose a channel tracking algorithm, which takes advantage of the estimation result from the previous frame, to further reduce the complexity. Simulation results have demonstrated that the proposed method can achieve a comparable performance with much lower complexity compared to the existing two-stage approach with OMP.
DOI:10.1109/OCEANSAP.2016.7485477