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April 24, 2026Chinese Optics0 citationsOpen Access

基于端到端优化的可编程微波光子滤波器

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LWLin WeiHCHui-bin CHENHGHong-ying GUO

Key Points

  • The research aims to optimize the performance of microwave photonic filters using an end-to-end approach. It focuses on managing the complexities of the weighted delay structure to mitigate distortion.
  • Developed an end-to-end optimization strategy for the microwave photonic filter as a black box system.
  • Monitored the output spectral shapes in real time to adjust the filter coefficients dynamically.
  • Calculated discrepancies between actual and ideal tap weights to refine filter performance.
  • Achieved a spectral reconstruction accuracy of 0.05 dB.
  • Realized a high out-of-band rejection ratio of 47 dB for the RF low-pass filter.

Abstract

基于加权时延结构的微波光子滤波器同时利用了光学器件和射频器件的优势,具有可重构、低成本、大带宽的特性,在微波频段提供了灵活高效的信号处理能力。然而,由于加权时延结构的复杂性,系统中分立的光电器件均会对不同波长上的权重抽头产生干扰,如:光频率梳的包络和增益竞争、EDFA的增益不均匀性和非线性、调制器受限的滤波带宽。这些因素均会导致抽头的权重偏离理想值,从而导致微波滤波器的畸变。本文提出了一种端到端优化的方式,通过将微波光子滤波器作为一个黑盒系统,通过实时监控系统最后输出的光谱形状(即每个tap的权重值),计算并反馈波长的抽头分布与理想抽头之间的差值,用于实时调整波长整型器的滤波系数,使得输出的光谱权重始终保持在设计的状态。通过这种端到端优化的方法,我们实现了0.05 dB的光谱重构精度,并且完成了带外抑制比高达47 dB的射频低通滤波器。

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Cite This Study

Wei et al. (2026) studied this question.

synapsesocial.com/papers/69eb09c9553a5433e34b4230https://doi.org/10.37188/co.2026-0008
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