Noise reduction method for distributed optical fiber temperature measurement system based on bipartite svd
A distributed optical fiber and noise reduction technology, which is applied to pattern recognition in signals, thermometers, and heat measurement, etc., can solve problems such as long calculation time, complex implementation process of noise reduction algorithm, and difficulty in practical application, etc., to reduce noise level, Easy to achieve, smoothing effect
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Embodiment 1
[0057] Embodiment 1: see figure 1 and figure 2 , The optical fiber temperature measurement system includes: laser pulse light source, wavelength division multiplexer, sensing optical fiber, avalanche photodiode, amplifier, and data acquisition card. Its working principle is as follows: the laser pulse light source injects laser pulses into the sensing fiber, the laser pulse interacts with the sensing fiber medium to generate backward spontaneous Raman scattered light with temperature information, and the backward spontaneous Raman scattered light with temperature information The wavelength division multiplexer is divided into anti-Stokes light and Stokes light. The two optical signals are converted into anti-Stokes electrical signal and Stokes electrical signal through the avalanche photodiode respectively. After the two electrical signals are amplified by the amplifier, the data is collected The card gets anti-Stokes data and Stokes data.
[0058] A method for reducing noi...
Embodiment 2
[0082] Example 2: see Figure 1 to Figure 13 , it can be seen from the figure that the data we obtained includes anti-Stokes original data and Stokes original data. In steps (1)-(3), anti-Stokes original data and Stokes original data are processed in exactly the same way. Let's take the original anti-Stokes data obtained at an actual temperature of 45.2°C as an example:
[0083] The anti-Stokes original data is constructed into a 2╳(L-1) dimension Hankel matrix, and said L is the length of the original data;
[0084] Then decompose the singular value of the Hankel matrix into left singular matrix, singular value diagonal matrix and right singular matrix; keep the first singular value of the singular value diagonal matrix, and set the other singular values to 0 to form a new singular value diagonal Matrix; reconstruct the left singular matrix, right singular matrix and new singular value diagonal matrix to form a new matrix, which is marked as the matrix after noise reductio...
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