VAMP-Inspired Self-Iterative Adaptive Equalization for MIMO Underwater Acoustic Communications
Authors: 
Dong Li, Yingqiao Cui, Jun Tao, Yanbo Wu, Pengyu DuAuthors Info & Claims
Dong Li, Yingqiao Cui, Jun Tao, Yanbo Wu, Pengyu DuAuthors Info & ClaimsArticle No.: 16, Pages 1 - 5
Abstract
The channel estimation (CE)-based vector approximate message passing (VAMP) soft equalizer (SE) has been proven to be an excellent technique of eliminating the inter-symbol interference (ISI) in single-carrier underwater acoustic (UWA) communications. It is attributed to the expectation propagation (EP)-like self-iterative mechanism between an inner soft slicer (ISS) and an inner soft equalizer (ISE). Inspired by that, we propose a direct-adaptive (DA) VAMP-SE for multiple-input multiple-input (MIMO) UWA communications in this pape. The proposed DA-VAMP-SE consist of the same ISS as the CE-VAMP-SE but a new ISE in form of DA-SE. For the new ISE, the extrinsic symbol knowledge is directly obtained via adaptive filtering instead of the EP-type message passing. The DA-VAMP-SE has the advantages of strong channel-tracking ability and low computational cost. Deep-sea experimental results showed that the proposed DA-VAMP-SE outperforms the CE-VAMP-SE and other typical SEs under fast time-varying UWA channels.
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Published In
November 2023
239 pages
ISBN:9798400716744
DOI:10.1145/3631726
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 12 June 2024
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- Short-paper
- Research
- Refereed limited
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- Defense Industrial Technology Development Program
- Fund of Science and Technology on Sonar Laboratory
- National Natural Science Foundation of China
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WUWNet 2023
WUWNet 2023: The 17th International Conference on Underwater Networks & Systems
November 24 - 26, 2023
Shenzhen, China
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Overall Acceptance Rate 84 of 180 submissions, 47%
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