Method for processing FBG (fiber bragg grating) sensing signal by utilizing three-point peek-seeking algorithm

Abstract

The invention relates to an implementation method for processing an FBG (fiber bragg grating) sensing signal based on a three-point peek-seeking algorithm. The method comprises the steps of providing a peek-seeking processing flow, and giving three elements influencing the peek-seeking accuracy according to the flow, wherein reasonable selection of a window size is a key point for improving the peek-seeking accuracy, and the size of a spectral processing window is determined by adopting a derivation method; the spectrum in the window is resampled by arranging sampling intervals, and sparse spectrum data is acquired and subjected to polynomial fitting; a proper wavelength interval delta lambda is selected according to the fitting result, the coordinates of three points can be determined, the peak value of the FBG reflectance spectrum is detected, so that the central wavelength can be acquired, and external physical parameters can be demodulated.

Description

technical field [0001] The invention relates to the signal processing field of optical fiber sensing, in particular to a peak-finding process, and proposes a three-point peak-finding algorithm for processing FBG sensing signals. Background technique [0002] Wavelength-coded Fiber Bragg grating (FBG) sensors have the advantages of small size, high sensitivity, wide dynamic range, no electromagnetic interference, high reliability, and can be embedded in smart structures, etc., and can be used in aerospace and shipbuilding industries , civil engineering, petrochemical industry, nuclear industry and medical engineering and other fields. The fiber grating sensor mainly judges the change to be measured by observing the Bragg wavelength shift, and the Bragg wavelength corresponds to the peak position of the reflection spectrum. Therefore, accurate peak finding is very important for improving the observation accuracy. [0003] The current peak-finding algorithms mainly include dir...

AI Technical Summary

Problems solved by technology

[0004] In order to improve the accuracy of peak finding, some scholars have proposed a non-uniform sampling method to determine the data sampling interval, and combined with Gaussian fitting to find the peak of FBG, the peak error is improved, but this method is limited by the number of sampling points

There are also literatures that propose a derivation method to determine the window size, and then combine Gaussian fitting to find the peak, and the accuracy is improved. However, these methods process a lot of data, the sampling interval is small, and the requirements for the device are high.

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