Valentín-Coronado, Luis M.Martínez Manuel, RodolfoEsquivel-Hernández, JonathanDíaz Lucas, SilviaMartínez-Guerrero, María de Los ÁngelesArmendáriz Armenteros, Miguel ÁngelLaRochelle, Sophie2025-02-062025-02-062025-01-15Valentín-Coronado, L. M., Martínez-Manuel, R., Esquivel-Hernández, J., Díaz, S., Martínez-Guerrero, M. Á., Armendáriz, M. Á., LaRochelle, S. (2025) Vector-based pattern recognition algorithm for interferometric fiber sensor-signals analysis. IEEE Photonic Technology Letters, 37(4), 207-210. https://doi.org/10.1109/LPT.2025.3530299.1041-113510.1109/LPT.2025.3530299https://academica-e.unavarra.es/handle/2454/53306A vector-based pattern recognition algorithm (V-PRA) for interferometric fiber sensor (IFS) signals is introduced. The proposed V-PRA transforms sensed interferometric signals into vectors to identify them by calculating the angular similarity with reference database vectors. This process accurately recognizes sensing patterns and assigns corresponding physical parameter values. The algorithm’s performance was tested in various IFS systems, including Fabry-Perot interferometers for refractive index measurement, multimode IFS for bending and strain monitoring, and multicore IFS for temperature monitoring. Experimental results confirm the effectiveness of the V-PRA as a specialized tool for IFSs.application/pdfeng© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.Optical fiber sensorsInterferometric signalsVector-based algorithmPattern recognitioninfo:eu-repo/semantics/article2025-02-06info:eu-repo/semantics/openAccess