An efficient and fast detection algorithm for multimode FBG sensing
Author(s) -
D. Ganziy,
O. Jespersen,
B. Rose,
Ole Bang
Publication year - 2015
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.2194305
Subject(s) - multi mode optical fiber , computer science , algorithm , fiber bragg grating , signal (programming language) , compensation (psychology) , noise (video) , signal to noise ratio (imaging) , stability (learning theory) , optical fiber , artificial intelligence , telecommunications , psychology , psychoanalysis , image (mathematics) , programming language , machine learning
We propose a novel dynamic gate algorithm (DGA) for fast and accurate peak detection. The algorithm uses threshold determined detection window and Center of gravity algorithm with bias compensation. We analyze the wavelength fit resolution of the DGA for different values of signal to noise ratio and different typical peak shapes. Our simulations and experiments demonstrate that the DGA method is fast and robust with higher stability and accuracy compared to conventional algorithms. This makes it very attractive for future implementation in sensing systems especially based on multimode fiber Bragg gratings.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom