An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel

Xizhu QIANG; Gang QIAO; Feng ZHOU

doi:10.11999/JEIT200660

Volume 43 Issue 3

Mar. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(3): 817-825

Xizhu QIANG, Gang QIAO, Feng ZHOU. An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel[J]. Journal of Electronics & Information Technology, 2021, 43(3): 817-825. doi: 10.11999/JEIT200660

Citation:

Xizhu QIANG, Gang QIAO, Feng ZHOU. An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel[J]. Journal of Electronics & Information Technology, 2021, 43(3): 817-825. doi: 10.11999/JEIT200660

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An Improved Delay Estimation Algorithm for Underwater Acoustic OFDM Sparse Channel

doi: 10.11999/JEIT200660

1.
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China
2.
Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China
3.
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China

Funds: The National Natural Science Foundation of China (61771152, 11774074)

Received Date: 2020-08-03
Rev Recd Date: 2021-01-24

Available Online: 2021-02-06

Publish Date: 2021-03-22

Abstract

Abstract

Traditional Orthogonal Matching Pursuit (OMP) method needs high oversampling factor and computational overhead to estimate off-grid path delays in underwater acoustic Orthogonal Frequency Division Multiplexing (OFDM) systems. In this paper, the idea of path compensation is introduced from multiple linear fitting theory, and an improved OMP path delay estimation method based on path compensation is proposed to reduce the energy leaking from off-grid paths to its surrounding grids. The compensation distance is used to evaluate compensation effect. The improved algorithm can improve the estimation performance by appropriate compensation distance without increasing the oversampling factor. Compared with the traditional OMP method, the proposed algorithm has lower computational complexity but better estimation performance. The results of simulations and sea trial data decoding show the superiority of the proposed method.
- Underwater acoustic communication,
- Orthogonal Frequency Division Multiplexing(OFDM),
- Orthogonal Matching Pursuit(OMP),
- Channel estimation,
- Linear fitting

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References(20)

References

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