Abstract
We propose and experimentally demonstrate a multiplexed high-temperature Fabry-Pérot (FP) fiber sensing system interrogated by dispersive microwave-photonic frequency-time domain analysis (DM-FTDA). In the proposed architecture, incoherent broadband probing light is modulated by radio-frequency (RF) signals and then reflected by a parallel network of hollow-core photonic crystal fiber FP (HCPCF-FP) sensors. A chirped fiber Bragg grating provides strong dispersion to map the composite FP spectral response into a well-defined microwave transfer function. Unlike conventional optical Fourier-domain multiplexing that requires deliberate cavity-length allocation, the proposed approach achieves multiplexing via delay-dominated discrimination. Distinct delay fibers are assigned to each sensor branch, and an inverse Fourier transform of the measured RF response produces separable time-domain features for individual sensors, enabling demodulation for sensors with closely matched cavity lengths. A three-sensor HCPCF-FP array is validated to ∼1000 °C, exhibiting linear time-shift responses, with worst-case apparent inter-channel crosstalk of 2.46% under the present drift conditions. These results establish DM-FTDA as a scalable microwave-photonic interrogation framework for multiplexed FP sensing in harsh thermal environments without complex optical acquisition.
Recommended Citation
R. Jie et al., "Multiplexed Fabry-Pérot High-temperature Sensing Based on Dispersive Microwave-photonic Frequency-time Domain Analysis," Optics Express, vol. 34, no. 11, pp. 20523 - 20538, Optica Publishing Group, Jun 2026.
The definitive version is available at https://doi.org/10.1364/OE.599875
Department(s)
Electrical and Computer Engineering
Publication Status
Open Access
International Standard Serial Number (ISSN)
1094-4087
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2026 Optica Publishing Group, All rights reserved.
Creative Commons Licensing

This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jun 2026
PubMed ID
42271856
