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.
|Conference||24th International Conference on Optical Fibre Sensors|
|Period||28/09/2015 → 02/10/2015|
|Series||Proceedings of SPIE, the International Society for Optical Engineering|
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- Wavelength detection
- Demodulation algorithm
- Fiber Bragg grating (FBG)
- Fiber optic sensor