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Decodificación de Patrones Coherentes de Guías de Onda Arregladas para la Estimación del Ángulo de Llegada Óptica en

Jinwen Zhang1, Haitao Zhang1, Zhuoyi Yang1

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Resumen
Este resumen es generado por máquina.

Este estudio presenta un nuevo método óptico de estimación del Ángulo de Llegada (AOA) que utiliza decodificación de guías de onda y aprendizaje profundo. La técnica logra alta precisión y robustez, superando las limitaciones de los sensores AOA tradicionales.

Palabras clave:
estimación del ángulo de llegadaguía de onda arregladamecanismo de atencióndecodificación de modo coherentered neuronal convolucional

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Área de la Ciencia:

  • Fotónica
  • Detección Óptica
  • Inteligencia Artificial

Sus antecedentes:

  • Los métodos tradicionales de estimación del Ángulo de Llegada (AOA) enfrentan desafíos en la miniaturización, complejidad y confiabilidad.
  • Las tecnologías existentes luchan por satisfacer las demandas de sensores ópticos compactos y robustos.

Objetivo del estudio:

  • Presentar un novedoso método de estimación de AOA óptico en espacio libre que supera las limitaciones de las técnicas tradicionales.
  • Aprovechar la decodificación de modos coherentes de guías de onda arregladas y el aprendizaje profundo para la recuperación precisa de información angular espacial.

Principales métodos:

  • Utiliza diferencias de fase relacionadas con el AOA de la propagación de la luz incidente y la interferencia en una guía de onda de entrada arreglada.
  • Forma franjas de interferencia de múltiples haces en la salida de la guía de onda de losa, muestreadas por una guía de onda de salida arreglada.
  • Emplea un Regresor de Atención (CNN) de Red Neuronal Convolucional entrenado para la estimación de AOA.

Principales resultados:

  • Se logró un Error Absoluto Medio (MAE) de 0.0142° y un Error Cuadrático Medio (RMSE) de 0.0193° en un campo de visión de 40°.
  • Se demostró una precisión superior en comparación con la calibración lineal de picos convencional y otras arquitecturas de redes neuronales.
  • Se exhibió una notable robustez contra el ruido de fase simulado y las tolerancias de fabricación.

Conclusiones:

  • El novedoso método decodifica eficazmente la información angular espacial de las señales ópticas.
  • Destaca la sinergia entre la fotónica integrada y el aprendizaje profundo para la detección óptica avanzada.
  • Abre el camino para sensores ópticos en chip altamente integrados, robustos y de alto rendimiento.