波长
光学
激光器
混乱的
物理
光电子学
材料科学
计算机科学
人工智能
作者
Xiaoyu Yang,Zong‐Lin Lei,Jun Yang,Gang‐Ding Peng,Jianzhong Zhang
标识
DOI:10.1002/lpor.202500601
摘要
Abstract As a high‐speed monitoring tool for non‐repetitive events, spectral information technology enables in‐depth analysis of multiple dimensions and parameters in complex environments. However, traditional spectral information technology faces a trade‐off between speed and precision. This study proposes a chaotic swept‐source spectral technology based on a Fourier domain mode‐locked swept chaotic laser (FDML‐SCL). By leveraging the unique spectral delay signature (SDS) of the FDML‐SCL, this technology enables self‐calibrating spectral analysis and offers a potential solution to imaging blur in interferometric imaging. It also achieves high‐precision dynamic sensing capabilities, enabling multi‐dimensional parallel ultra‐large‐capacity grating measurements. This breakthrough overcomes the signal overlap issue inherent in traditional multi‐path grating detection and improves wavelength resolution from the picometer to the femtometer level. Furthermore, this work introduces a dynamically swept‐frequency chaotic radar‐based spectral measurement mechanism and applies it to radar‐assisted fiber‐optic networks to reduce temporal and frequency congestion. This technology holds the potential to integrate with artificial intelligence, enabling truly intelligent spectral analysis, measurement, and sensing across multiple domains.
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