Model-Based Position and Reflectivity Estimation of Fiber Bragg Grating Sensor Arrays

Sensors

Darko Zibar¹  Bernhard Schmauss²  Max Köppel²  Stefan Werzinger² 

[1] DTU Fotonik, Technical University of Denmark, Kgs. DK-2800 Lyngby, Denmark;Institute of Microwaves and Photonics, Friedrich-Alexander University Erlangen Nürnberg, Cauerstr. 9, 91058 Erlangen, Germany;

关键词: optical fiber sensing;    fiber Bragg gratings;    signal processing;    modeling;    estimation of distribution algorithm;    optical frequency domain reflectometry;    temperature sensing;   

DOI  :  10.3390/s18072268

来源: DOAJ

【 摘 要 】

We propose an efficient model-based signal processing approach for optical fiber sensing with fiber Bragg grating (FBG) arrays. A position estimation based on an estimation of distribution algorithm (EDA) and a reflectivity estimation method using a parametric transfer matrix model (TMM) are outlined in detail. The estimation algorithms are evaluated with Monte Carlo simulations and measurement data from an incoherent optical frequency domain reflectometer (iOFDR). The model-based approach outperforms conventional Fourier transform processing, especially near the spatial resolution limit, saving electrical bandwidth and measurement time. The models provide great flexibility and can be easily expanded in complexity to meet different topologies and to include prior knowledge of the sensors. Systematic errors due to crosstalk between gratings caused by multiple reflections and spectral shadowing could be further considered with the TMM to improve the performance of large-scale FBG array sensor systems.

【 授权许可】

Unknown