Research on Low Complexity Underwater Acoustic Multiple Input Multiple Output Orthogonal Time Frequency Space Modulation Communication Method

WANG Biao; FANG Zide; ZHU Yunan; GUO Xiaopeng; ZHU Boyu

doi:10.11999/JEIT230183

Volume 46 Issue 1

Jan. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(1): 83-91

WANG Biao, FANG Zide, ZHU Yunan, GUO Xiaopeng, ZHU Boyu. Research on Low Complexity Underwater Acoustic Multiple Input Multiple Output Orthogonal Time Frequency Space Modulation Communication Method[J]. Journal of Electronics & Information Technology, 2024, 46(1): 83-91. doi: 10.11999/JEIT230183

Citation:

WANG Biao, FANG Zide, ZHU Yunan, GUO Xiaopeng, ZHU Boyu. Research on Low Complexity Underwater Acoustic Multiple Input Multiple Output Orthogonal Time Frequency Space Modulation Communication Method[J]. Journal of Electronics & Information Technology, 2024, 46(1): 83-91. doi: 10.11999/JEIT230183

Citation:

WANG Biao, FANG Zide, ZHU Yunan, GUO Xiaopeng, ZHU Boyu. Research on Low Complexity Underwater Acoustic Multiple Input Multiple Output Orthogonal Time Frequency Space Modulation Communication Method[J]. Journal of Electronics & Information Technology, 2024, 46(1): 83-91. doi: 10.11999/JEIT230183

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Research on Low Complexity Underwater Acoustic Multiple Input Multiple Output Orthogonal Time Frequency Space Modulation Communication Method

doi: 10.11999/JEIT230183

Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212100, China

Funds: The National Natural Science Foundation of China (52071164), The Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX23_3908)

Received Date: 2023-03-21
Rev Recd Date: 2023-09-05

Available Online: 2023-09-11

Publish Date: 2024-01-17

Abstract

Abstract

In the Multiple Input Multiple Output Orthogonal Time Frequency Space (MIMO-OTFS) underwater acoustic communication system, MIMO-OTFS communication based on the Message Passing (MP) algorithm have problems with high computational complexity, which may increase equipment costs in practical applications. To solve this problem, an MIMO-OTFS equalization algorithm based on two-dimensional Virtual Time Reversal Mirror (VTRM) is proposed, which uses the time-frequency-space focusing characteristics of VTRM to effectively improve the equalization performance. The channel estimation is performed using the Improved two-dimensional Proportional Normalized Least Mean Square (IPNLMS) algorithm, which utilizes the sparse characteristics of the time-delay Doppler domain channel to improve convergence speed at a lower computational complexity. Finally, residual inter-symbol interference is eliminated and system performance is further improved through the use of the two-dimensional adaptive decision feedback equalization algorithm. The simulation results demonstrate the feasibility of the proposed equalization algorithm, and show that it has lower complexity than the MP algorithm while ensuring the same performance.

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References(24)

References

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