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September 28, 2025Open Access

A Novel CNN Based Standalone Detector for Faster-than-Nyquist Signaling

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Authors

OTOsman TokluogluEÇEnver ÇavuşEBEbrahim Bedeer

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Overview

Novel detector method enhances bit error rate in faster-than-Nyquist signaling, indicating strong performance in multipath channels.

Key Points

  • Achieves near-optimal bit error rate performance, comparable to existing algorithms, enhancing detection reliability.
  • The structured design employs fixed convolutional kernels to target intersymbol interference, improving accuracy.
  • Simulation demonstrates a significant reduction in computational costs by up to 84% for certain modulation schemes, maximizing efficiency.
  • The detector adapts to high-order modulations and maintains resilience in complex fading environments, supporting practical applications.

Cite This Study

Tokluoglu et al. (2025) studied this question.

synapsesocial.com/papers/68d913b24ddcf71ba560bf42https://doi.org/10.48550/arxiv.2508.12964
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