MIMO-OFDM Underwater Acoustic Communication Receiver Based on Intercarrier Interference Depth Estimation

YE Zihao; YAN Shefeng; YANG Binbin

doi:10.11999/JEIT220794

Volume 45 Issue 7

Jul. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(7): 2519-2527

YE Zihao, YAN Shefeng, YANG Binbin. MIMO-OFDM Underwater Acoustic Communication Receiver Based on Intercarrier Interference Depth Estimation[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2519-2527. doi: 10.11999/JEIT220794

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YE Zihao, YAN Shefeng, YANG Binbin. MIMO-OFDM Underwater Acoustic Communication Receiver Based on Intercarrier Interference Depth Estimation[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2519-2527. doi: 10.11999/JEIT220794

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MIMO-OFDM Underwater Acoustic Communication Receiver Based on Intercarrier Interference Depth Estimation

doi: 10.11999/JEIT220794

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 (62192711, 61725106)

Received Date: 2022-06-16
Rev Recd Date: 2022-10-24

Available Online: 2022-10-26

Publish Date: 2023-07-10

Abstract

Abstract

Due to the unknown influence of Inter-Carrier Interference (ICI) on the signal in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) underwater acoustic communication systems, the receivers have problems with incomplete interference cancellation or high computational complexity. To solve this problem, an iterative MIMO-OFDM receiver based on ICI depth estimation is proposed. The pilot frequency domain correlation is used to estimate the ICI depth for each transmitted signal. In channel estimation, the frequency domain matrix of each channel is reconstructed by using the estimated interference depth, which avoids selecting the same interference depth for different channels. Therefore, the proposed receiver can self adapt to channel variations and reduce computational complexity. Furthermore, decision feedback equalization is introduced into the MIMO-OFDM underwater acoustic communication system, and the equalized symbols are used to eliminate ICI. Simulation results show that the correct decoding time of the proposed receiver is less than that of the ICI-progressive receiver.

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References(14)

References

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