First published 10/3/2026, 8:48:15 PM · Last updated 10/3/2026, 8:48:15 PM

Robust Transformer Neural Network based Signal Detector for Optical-OTFS in Doubly Dispersive Channels with BER and PSD Evaluation

A journal article describes a transformer-based neural signal detector applied to optical OTFS systems in channels with doubly dispersive effects and reports bit-error-rate and power-spectral-density evaluations. The provided metadata identifies Elsevier BV as the publisher and classifies the item as a journal article.

Illustrative image: Artemis Science Evaluation Room (SER) for Mission Control in Houston -- jsc2025e057255 — Helen Arase Vargas NASA-JSC/NASA Image and Video Library, NASA Media Usage Guidelines

Categories: science-and-space, technology

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 7/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 1/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 3/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 3/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 5/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 1/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

The paper presents a technical detection method and measured evaluations relevant to optical communications research.

Sources

Robust Transformer Neural Network based Signal Detector for Optical-OTFS in Doubly Dispersive Channels with BER and PSD EvaluationMetadata provided by Crossref. Usage terms

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