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Filtered Multitone Modulation Underwater Acoustic Communications Using Low-Complexity Channel-Estimation-Based MMSE

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A new turbo equalization method using channel estimation-based MMSE algorithms improves underwater acoustic communications. This approach effectively suppresses intersymbol interference (ISI) in filtered multitone (FMT) modulation, enhancing data rates.

Keywords:
filtered multitone modulationinterference suppressionlow-complexity channel-estimate-based minimum mean square error algorithmturbo equalizationunderwater acoustic communications

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Area of Science:

  • Underwater acoustic (UWA) communications
  • Digital signal processing
  • Modulation techniques

Background:

  • Filtered multitone (FMT) modulation is used in UWA communications to mitigate multipath effects.
  • Intersymbol interference (ISI) remains a challenge in FMT modulation, degrading performance.
  • Traditional adaptive equalization methods struggle with long ISI spans and large constellation sizes.

Purpose of the Study:

  • To propose a novel low-complexity channel-estimation-based (CE-based) MMSE turbo equalization technique for FMT modulation in UWA systems.
  • To effectively suppress ISI in UWA communications while maintaining computational efficiency.
  • To improve the overall communication performance and bit rate compared to existing methods.

Main Methods:

  • Implemented turbo equalization, combining adaptive equalization and channel decoding for iterative ISI suppression.
  • Employed a low-complexity CE-based MMSE algorithm to adjust equalizer coefficients within the turbo equalization framework.
  • Validated the proposed method through theoretical analysis, simulations, and experiments with real UWA data.

Main Results:

  • The proposed CE-based MMSE turbo equalization significantly suppresses ISI in FMT modulation UWA communications.
  • The method achieves superior communication performance and higher bit rates compared to traditional MMSE adaptive equalization.
  • The technique demonstrates effectiveness even with multipath propagation, as verified by experimental data.

Conclusions:

  • The developed low-complexity CE-based MMSE turbo equalization is a viable and effective solution for enhancing FMT modulation in UWA systems.
  • This approach offers a significant improvement in communication performance and data throughput.
  • The proposed method addresses the limitations of traditional equalization techniques in challenging UWA environments.