Semi-blind equalization for Internet of Underwater Things

Xiangzhao Qin, Roee Diamant

Research output: Contribution to journalConference articlepeer-review


With the advance of hardware systems and communication technologies, the design of self-controlled submerged devices and their connection in an Internet of Underwater Things (IoUT) is becoming possible. Deployed over long periods of times, these devices can only dedicate a small portion of their energy to underwater acoustic (UWA) communication. As a result, the communication packets should be extremely small with minimum overhead for preamble signals and pilot symbols. On the other hand, the operation of the IoUT in shallow water requires good equalization performance to manage the expected long intersymbol interference (ISI). In this paper, we propose a novel scheme to allow equalization albeit the short training sequence versus long UWA channel. Our approach relies on the generalized Gaussian message passing (GAMP) scheme to operate a novel semiblind equalization. Specifically, we formulate the joint channel estimation and decoding (JCED) problem as a factor graph and perform equalization by passing messages within units of a turbo equalizer. Extensive numerical simulation and results from a field experiment show that our approach outperforms state-of-the-art benchmarks in terms of the communication system's capability to perform well with a small number of pilot symbols.

Original languageEnglish
Article number070033
JournalProceedings of Meetings on Acoustics
Issue number1
StatePublished - 20 Jun 2021
Event6th Underwater Acoustics Conference and Exhibition, UACE 2021 - Virtual, Online
Duration: 20 Jun 202125 Jun 2021

Bibliographical note

Publisher Copyright:
© 2021 Acoustical Society of America.

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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