Estimation and Equalization of Time-varying Underwater Acoustic Channel Based on Superimposed Training and Low-complexity Turbo Equalization in Frequency Domain

Guang YANG; Hanxue DING; Qinghua GUO; Qi YAN; Xinjie WANG

doi:10.11999/JEIT200315

Volume 43 Issue 3

Mar. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(3): 850-856

Guang YANG, Hanxue DING, Qinghua GUO, Qi YAN, Xinjie WANG. Estimation and Equalization of Time-varying Underwater Acoustic Channel Based on Superimposed Training and Low-complexity Turbo Equalization in Frequency Domain[J]. Journal of Electronics & Information Technology, 2021, 43(3): 850-856. doi: 10.11999/JEIT200315

Citation:

Guang YANG, Hanxue DING, Qinghua GUO, Qi YAN, Xinjie WANG. Estimation and Equalization of Time-varying Underwater Acoustic Channel Based on Superimposed Training and Low-complexity Turbo Equalization in Frequency Domain[J]. Journal of Electronics & Information Technology, 2021, 43(3): 850-856. doi: 10.11999/JEIT200315

Citation:

Guang YANG, Hanxue DING, Qinghua GUO, Qi YAN, Xinjie WANG. Estimation and Equalization of Time-varying Underwater Acoustic Channel Based on Superimposed Training and Low-complexity Turbo Equalization in Frequency Domain[J]. Journal of Electronics & Information Technology, 2021, 43(3): 850-856. doi: 10.11999/JEIT200315

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Estimation and Equalization of Time-varying Underwater Acoustic Channel Based on Superimposed Training and Low-complexity Turbo Equalization in Frequency Domain

doi: 10.11999/JEIT200315

1.
School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
2.
School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong 2522, Australia

Funds: The National Natural Science Foundation of China (61771271), The General Project of Natural Science Foundation of Shandong Province (ZR2020MF010, ZR2020MF001), Qingdao Source Innovation Program - Special Project for Young Scholars (19-6-2-4-cg), Shandong Province Higher Educational Science and Technology Program (J18KA315)

Received Date: 2020-04-28
Rev Recd Date: 2020-12-09

Available Online: 2021-01-04

Publish Date: 2021-03-22

Abstract

Abstract

To solve the problems of time-varying underwater acoustic channel estimation and equalization, an estimation and equalization algorithm of time-varying underwater acoustic channel based on Superimposed Training (ST) and Low-complexity Turbo Equalization (LTE) in frequency domain (ST-LTE) is proposed. Based on the ST scheme, the training sequence and symbols are linearly superimposed to make the channel information of the training sequence and symbols consistent; Based on the least square algorithm, channel estimation is performed. Based on the interference elimination technique of training sequence in frequency domain, the interference of training sequence on symbols is eliminated in frequency domain; Based on the Linear Minimum Mean Square Error (LMMSE) equalization algorithm in frequency domain, the low-complexity channel equalization (symbol estimation) is realized by the calculation of prior, posterior, extrinsic mean and variance; Based on the Turbo equalization algorithm, soft reconstruction of superimposed training and update of channel estimation are conducted, the information exchange between equalizer and decoder is also carried out and the performance of channel equalization is extremely improved by using coding redundancy information. Simulation, static communication experiment in a pool (communication frequency is 12 kHz, bandwidth 6 kHz, the sampling frequency 96 kHz, the transmission rate of symbols 4.8 ksym/s and the power ratio of the training sequence on symbols 0.25:1) and moving communication experiment in Jiaozhou Bay (communication frequency is 12 kHz, bandwidth 6 kHz, the sampling frequency 96 kHz, the transmission rate of symbols 3 ksym/s and the power ratio of the training sequence on symbols 0.25:1) are carried out and simulation and experimental results verify the effectiveness of the proposed algorithm.

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References(18)

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