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Time domain turbo equalization based on vector approximate message passing for multiple-input multiple-output

Wei-Zhe Li1,2, Xiao Han1,3, Guang-Jun Zhu1,2

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This study introduces a novel receiver for underwater acoustic communications using vector approximate message passing (VAMP) turbo equalization. The VAMP-turbo receiver enhances performance and reduces complexity in multiple-input multiple-output (MIMO) systems.

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Area of Science:

  • Underwater Acoustic Communications
  • Signal Processing
  • Information Theory

Background:

  • Underwater acoustic communication systems face challenges with signal distortion and interference.
  • Multiple-Input Multiple-Output (MIMO) systems offer potential for improved data rates but increase complexity.
  • Existing receivers struggle to balance performance and computational load.

Purpose of the Study:

  • To propose a high-performance, low-complexity receiver for underwater acoustic MIMO systems.
  • To leverage time reversal processing and advanced equalization techniques.
  • To improve bit error rate and convergence performance compared to existing methods.

Main Methods:

  • Utilizing vector approximate message passing (VAMP) as a soft equalizer within a turbo equalization framework.
  • Implementing an iterative channel-estimation-based soft successive interference cancellation.
  • Employing passive time reversal technology to simplify channel processing.

Main Results:

  • The proposed VAMP-turbo receiver achieves near-optimal performance through self-iteration.
  • Significant reduction in computational complexity, especially for large MIMO systems.
  • Demonstrated superior performance over traditional parallel-VAMP and GAMP-turbo receivers in experimental tests.

Conclusions:

  • The VAMP-turbo receiver offers a practical solution for high-performance underwater acoustic MIMO communications.
  • Passive time reversal effectively reduces system complexity without performance degradation.
  • The VAMP-turbo approach surpasses GAMP-turbo in terms of bit error rate and convergence.