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Vector Approximate Message Passing Based OFDM-IM Detection for Underwater Acoustic Communications.

Xiao Feng1,2, Feng Tian1,2, Mingzhang Zhou2,3

  • 1School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

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Summary
This summary is machine-generated.

This study introduces a low-complexity Vector Approximate Message Passing (VAMP) detector for underwater acoustic Orthogonal Frequency Division Multiplexing with Index Modulation (OFDM-IM) communications, enabling real-time data transmission.

Keywords:
OFDM-IMdata detectionunderwater acoustic communicationsvector approximate message passing

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Area of Science:

  • Underwater Acoustic Communications
  • Signal Processing
  • Information Theory

Background:

  • Orthogonal frequency division multiplexing with index modulation (OFDM-IM) offers high spectral efficiency for underwater acoustic (UWA) communications.
  • Traditional maximum likelihood detection methods for OFDM-IM are computationally intensive, hindering real-time applications in UWA environments.

Purpose of the Study:

  • To develop a computationally efficient and effective detection algorithm for UWA OFDM-IM systems.
  • To enable real-time data transmission in challenging underwater acoustic environments.

Main Methods:

  • A Vector Approximate Message Passing (VAMP) algorithm framework was formulated for index detection in OFDM-IM.
  • A novel shrinkage function was derived using the minimum mean square error criterion, exploiting the inherent sparsity of OFDM-IM symbols.
  • A lookup table-based Euclidean distance search was employed to correct erroneously estimated indices.

Main Results:

  • The proposed VAMP-based detector demonstrates significantly lower computational complexity compared to existing methods.
  • The detector exhibits improved robustness and effectiveness in UWA OFDM-IM communication scenarios.
  • Experimental results validate the performance advantages of the VAMP detector.

Conclusions:

  • The VAMP-based detection offers a viable solution for real-time, high spectral-efficiency UWA OFDM-IM communications.
  • The proposed method overcomes the computational limitations of traditional detectors.
  • This approach enhances the feasibility of advanced communication techniques in underwater environments.