All-Optical High-Resolution Real-Time Temperature Estimation Method Based on Fiber-Optic Interferometry
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866915958564585472 |
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| author | Yang, Jingwen Chen, Long Yu, Haoliang Jin, Xiaofeng Miao, Jianxiang Kong, Jia |
| author_facet | Yang, Jingwen Chen, Long Yu, Haoliang Jin, Xiaofeng Miao, Jianxiang Kong, Jia |
| contents | High-resolution temperature monitoring is essential for many engineering and scientific applications, but conventional sensors are limited by insufficient resolution and susceptibility to electromagnetic interference. Fiber-optic interferometers provide high sensitivity and intrinsic electromagnetic immunity; however, their practical performance is hindered by nonlinear temperature-intensity responses, phase ambiguity, and environmental disturbances. Here, we develop an extended Kalman filter (EKF)-based approach that incorporates system non-linearity and noise statistics to enable robust real-time temperature estimation from interferometric signals. In numerical simulations, our EKF-based method reduces the estimation error to 2.21e-5 K, while experiments achieve a resolution of 8.34e-5 K under strong disturbances, corresponding to a threefold improvement over conventional intensity-based inversion method and an order-of-magnitude enhancement compared with traditional based measurement. These results demonstrate a compact and robust strategy for high-resolution, real-time, all-optical temperature sensing with strong immunity to electromagnetic interference. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_23363 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | All-Optical High-Resolution Real-Time Temperature Estimation Method Based on Fiber-Optic Interferometry Yang, Jingwen Chen, Long Yu, Haoliang Jin, Xiaofeng Miao, Jianxiang Kong, Jia Optics High-resolution temperature monitoring is essential for many engineering and scientific applications, but conventional sensors are limited by insufficient resolution and susceptibility to electromagnetic interference. Fiber-optic interferometers provide high sensitivity and intrinsic electromagnetic immunity; however, their practical performance is hindered by nonlinear temperature-intensity responses, phase ambiguity, and environmental disturbances. Here, we develop an extended Kalman filter (EKF)-based approach that incorporates system non-linearity and noise statistics to enable robust real-time temperature estimation from interferometric signals. In numerical simulations, our EKF-based method reduces the estimation error to 2.21e-5 K, while experiments achieve a resolution of 8.34e-5 K under strong disturbances, corresponding to a threefold improvement over conventional intensity-based inversion method and an order-of-magnitude enhancement compared with traditional based measurement. These results demonstrate a compact and robust strategy for high-resolution, real-time, all-optical temperature sensing with strong immunity to electromagnetic interference. |
| title | All-Optical High-Resolution Real-Time Temperature Estimation Method Based on Fiber-Optic Interferometry |
| topic | Optics |
| url | https://arxiv.org/abs/2604.23363 |