Compressed Sensing Estimation of Underwater Acoustic MIMO Channels Based on Temporal Joint Sparse Recovery

ZHOU Yuehai; WU Yanyi; CHEN Dongsheng; TONG Feng

doi:10.11999/JEIT151158

Volume 38 Issue 8

Sep. 2016

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ZHOU Yuehai, WU Yanyi, CHEN Dongsheng, TONG Feng. Compressed Sensing Estimation of Underwater Acoustic MIMO Channels Based on Temporal Joint Sparse Recovery[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1920-1927. doi: 10.11999/JEIT151158

Citation:

ZHOU Yuehai, WU Yanyi, CHEN Dongsheng, TONG Feng. Compressed Sensing Estimation of Underwater Acoustic MIMO Channels Based on Temporal Joint Sparse Recovery[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1920-1927. doi: 10.11999/JEIT151158

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Compressed Sensing Estimation of Underwater Acoustic MIMO Channels Based on Temporal Joint Sparse Recovery

doi: 10.11999/JEIT151158

Funds:

The National Natural Science Foundation of China (11274259, 11574258), The Natural Science Foundation of Fujian Province, China (2015J01172)

Received Date: 2015-10-16
Rev Recd Date: 2016-04-27
Publish Date: 2016-08-19

Abstract

Abstract

Multiple-Input-Multiple-Output (MIMO) under water acoustic communication is capable of improving the channel capacity in extremely limited bandwidth. However, the performance of traditional channel estimation algorithms, such as Least Squares (LS) method, Compressed Sensing (CS) method decreases rapidly because of the simultaneous presence of the Co-channel Interference (CoI) and multipath. As the sparse multipath structures between adjacent data blocks exhibit temporal correlation features, in this paper, the temporal correlation of sparse multipath structures is exploited to establish temporal joint sparse MIMO channel estimation model, and the Simultaneous Orthogonal Matching Pursuit (SOMP) algorithm is utilized for compressed sensing estimation of MIMO channels. Simulation and sea trial results validate the effectiveness of the proposed method.
- MIMO channel estimation,
- Co-channel interference,
- Distributed compress sensing,
- Simultaneous Orthogonal Matching Pursuit (SOMP)

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References(20)

References

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