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Multiple-Input-Multiple-Output Filtered Multitone Time Reversal Acoustic Communications Using Direct Adaptation-Based

Lin Sun1, Haisen Li2

  • 1School of Cyber Science and Engineering, Qufu Normal University, Qufu, 273165, China.

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|July 14, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces direct adaptation-based turbo equalization for multiple-input-multiple-output filtered multitone time reversal acoustic communications. The method effectively suppresses noise and interference, improving communication performance.

Keywords:
adaptive turbo equalizationfiltered multitonesoft information-based adaptive decision feedback equalizationtime reversalunderwater acoustic communications

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Acoustic Communications

Background:

  • Underwater acoustic communication systems face challenges from noise and interference.
  • Time reversal (TR) is a technique used to focus acoustic energy, but residual interference remains.
  • Filtered multitone (FMT) modulation is employed in multiple-input-multiple-output (MIMO) systems.

Purpose of the Study:

  • To propose a novel direct adaptation (DA)-based turbo equalization method for MIMO-FMT TR acoustic communications.
  • To jointly suppress noise, co-channel interference (CCI), and intersymbol interference (ISI) after TR.
  • To enhance the performance of underwater acoustic communication systems.

Main Methods:

  • Utilizing soft information-based adaptive decision feedback equalization (ADFE) with the recursive expected least squares (RELS) algorithm.
  • Implementing iterative exchange of soft information between symbols and decoding decisions.
  • Employing interference cancellation and decoding within the turbo equalization framework.

Main Results:

  • The proposed DA-based turbo equalization method demonstrates improved performance compared to systems without error control coding (ECC).
  • It outperforms methods using hard decision equalization and decoding by effectively exploiting soft information.
  • Performance was validated using real experimental acoustic channel responses.

Conclusions:

  • Direct adaptation-based turbo equalization is a viable and effective technique for MIMO-FMT TR acoustic communications.
  • The iterative soft information exchange significantly enhances interference suppression and overall system performance.
  • This approach offers a robust solution for challenging underwater acoustic communication environments.