Fast Gaussian fitting method applied to fiber Bragg grating wavelength demodulation

Abstract

The invention discloses a fast Gaussian fitting method applied to fiber Bragg grating wavelength demodulation. The method comprises steps: 1, according to an acquired reflectance spectral data interval, a digital interval for logarithmic operation is determined, and a proper Hash table is built according to resources inside the system; 2, advanced operation is carried out on a fixed coefficient process decomposed through theoretical analysis and formula conversion, and an operation result is stored in a dependent variable for later use; 3, a look-up table method is adopted to calculating the natural logarithm of a sampled spectral value; and 4, a fitting process, that is, a fiber grating demodulation process, is carried out. The method can effectively solve the problem of limitations on the demodulation speed by the traditional Gaussian fitting algorithm and greatly improves the fiber grating demodulation speed on the premise of not reducing the demodulation precision and the demodulation range.

Description

technical field [0001] The invention relates to the technical field of fiber grating demodulation, in particular to a fast Gaussian fitting method applied to fiber Bragg grating wavelength demodulation. Background technique [0002] Fiber Bragg Grating FBG (Fiber Bragg Grating) has the characteristics of anti-electromagnetic interference, good electrical insulation, corrosion resistance, small size, light weight, small transmission loss, multi-point distributed measurement, and wide measurement range. It is widely used in civilian applications. Engineering, aviation, shipbuilding, electric power, petroleum, building structure health monitoring, complex mechanical system dynamic monitoring and other fields. With the continuous maturity of fiber grating sensing technology, its unique advantages have been gradually reflected in scientific research and production. [0003] The sensing principle of the fiber Bragg grating is based on the relationship between the center wavelengt...

AI Technical Summary

Problems solved by technology

[0004] At present, the Gaussian fitting algorithm is used to demodulate the central wavelength of the fiber Bragg grating. Although the anti-noise performance and demodulation accuracy are relatively high, because the realization of the Gaussian fitting algorithm requires a large number of nonlinear operations, the computational complexity is high. In addition, the number of sensors in the fiber grating sensor network is large, and the amount of calculation is further increased. The demodulation speed of the traditional Gaussian fitting algorithm is obviously relatively low, which restricts the application and development of this type of fiber grating sensor system.

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