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Area of Science:

  • Electrical Engineering
  • Ocean Engineering
  • Signal Processing

Background:

  • Underwater acoustic communication channels are characterized by fast time-varying conditions and intersymbol interference.
  • Maximum likelihood sequence estimation (MLSE) is desirable for reliable data recovery but is computationally complex.
  • Existing reception schemes struggle to maintain performance under dynamic channel conditions.

Purpose of the Study:

  • To propose a low-complexity joint equalization and decoding reception scheme for high-order underwater acoustic communications.
  • To enable the application of MLSE in fast time-varying underwater acoustic channels.
  • To improve the performance and robustness of underwater communication systems.

Main Methods:

  • A novel super-trellis per-survivor processing (PSP) approach is developed.
  • The scheme integrates trellis-coded modulation (TCM) states with intersymbol interference (ISI) states.
  • PSP is utilized to dynamically track channel parameters, adapting to time variations.
  • A general trellis configuration is provided for arbitrary order quadrature amplitude modulation (QAM) signals with a truncated channel model for ISI states.

Main Results:

  • The proposed scheme demonstrates superior performance compared to conventional methods.
  • Sea trials confirmed a performance gain exceeding 1.4 dB.
  • The low-complexity design makes MLSE feasible for practical high-order underwater acoustic systems.

Conclusions:

  • The developed joint equalization and decoding scheme effectively handles fast time-varying underwater acoustic channels.
  • The super-trellis PSP approach offers a significant performance improvement and computational efficiency.
  • This technique enhances the reliability and applicability of high-order QAM in challenging underwater environments.