Hybrid Bi-directional Turbo Equalization for Underwater Acoustic Communications Based on Kalman Filter

YANG Binbin; YAN Shefeng; ZHANG Shaochen; YE Zihao

doi:10.11999/JEIT211343

Volume 44 Issue 6

Jun. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(6): 1879-1886

YANG Binbin, YAN Shefeng, ZHANG Shaochen, YE Zihao. Hybrid Bi-directional Turbo Equalization for Underwater Acoustic Communications Based on Kalman Filter[J]. Journal of Electronics & Information Technology, 2022, 44(6): 1879-1886. doi: 10.11999/JEIT211343

Citation:

YANG Binbin, YAN Shefeng, ZHANG Shaochen, YE Zihao. Hybrid Bi-directional Turbo Equalization for Underwater Acoustic Communications Based on Kalman Filter[J]. Journal of Electronics & Information Technology, 2022, 44(6): 1879-1886. doi: 10.11999/JEIT211343

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Hybrid Bi-directional Turbo Equalization for Underwater Acoustic Communications Based on Kalman Filter

doi: 10.11999/JEIT211343

1.
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds: The National Natural Science Foundation of China (61725106)

Received Date: 2021-11-29
Accepted Date: 2022-04-30
Rev Recd Date: 2022-04-26

Available Online: 2022-05-06

Publish Date: 2022-06-21

Abstract

Abstract

In underwater acoustic channel equalization, the channel estimation-based equalization has better performance theoretically, but the high computational complexity limits its practical applications. To solve this problem, an iterative Kalman equalizer based on Kalman filter and Turbo equalization is proposed firstly, which realizes iterative channel estimation and iterative Kalman equalization based on soft symbols generated by the channel decoder, and the complexity is about one order of magnitude lower than that of conventional methods. Secondly, aiming at the error transmission of a single equalization algorithm and single direction Turbo equalizer structure, a hybrid bi-directional Turbo equalizer based on iterative Kalman equalizer and Improved Proportional Normalized LMS (IPNLMS) adaptive equalizer is designed, which improves the convergence speed and equalization performance of the adaptive equalizer, and reduces the error transmission through bi-directional equalization gain. The proposed hybrid bi-directional Turbo equalization for underwater acoustic communications based on the Kalman filter is verified by theoretical analysis and simulation.
- Underwater acoustic communications,
- Channel estimation,
- Kalman equalization,
- Turbo receiver,
- Bi-directional equalization

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References(22)

References

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