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Bi Y, Xiong Z F, Li J W, et al. Demodulation method for GaAs optical fiber temperature sensing based on reference filter and cross-correlation algorithm[J]. Opto-Electron Eng, 2024, 51(9): 240143. doi: 10.12086/oee.2024.240143
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Demodulation method for GaAs optical fiber temperature sensing based on reference filter and cross-correlation algorithm
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Abstract
This paper presents a new demodulation approach for optical fiber temperature sensors based on GaAs, leveraging reference filtering and a cross-correlation algorithm. It preprocesses the data through double Gaussian filtering for smoothing and implements an enhanced cross-correlation algorithm adopting a long-pass filter (LPF) waveform as the reference signal to demodulate the GaAs optical fiber temperature sensor. Using the correlated data from cross-correlation operations, it applies a multiple polynomial fitting strategy to further augment the precision of the cross-correlation algorithm’s demodulation. Across a temperature sensing range of −30 to 250 ℃, the wavelength demodulation error of this method can reach ±0.0016 nm, and the temperature demodulation accuracy is ±0.388 ℃. Relative to the prevailing normalized optical intensity demodulation method, the cross-correlation algorithm employing an LPF waveform as the reference demonstrates a 2.64-fold increase in noise immunity and a 2.08-fold improvement over cross-correlation algorithms without the LPF reference waveform.-
Keywords:
- GaAs /
- Gaussian filtering /
- cross-correlation algorithm
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References
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Overview
GaAs, as a unique semiconductor material, is widely used in the field of optical communication and the production of various sensors. The temperature characteristics of GaAs material play an important role, but the existing demodulation technologies for the temperature response characteristics of GaAs have problems such as low noise resistance, low precision, and low accuracy. Therefore, a high precision and noise immunity demodulation method for the temperature response of GaAs crystals is needed. This paper proposes a new demodulation approach for optical fiber temperature sensors based on GaAs, leveraging the reference filtering and a cross-correlation algorithm. The algorithm mainly consists of a double Gaussian filtering algorithm for filtering and smoothing the original collected waveform, a cross-correlation algorithm using a low-pass filter (LPF) waveform as the reference waveform, and a multi-quadratic polynomial fitting algorithm for improving the demodulation precision and accuracy. The double Gaussian filtering of this algorithm can reduce the impact of noise during data collection, enhancing the algorithm's noise resistance. Compared with cross-correlation algorithms without the LPF reference waveform, this algorithm uses the LPF waveform collected by the same experimental data acquisition system as the reference waveform, solving the problem of low noise resistance when using the collected waveform as the reference and the inability of virtual waveforms to reflect the error impact of unstable factors in the collection system, such as the light source and spectrometer. At the same time, the use of a multi-quadratic polynomial fitting method ensures the accuracy and reliability of the maximum cross-correlation coefficient acquisition. Compared with the existing GaAs temperature response demodulation technologies, the noise resistance of this algorithm can be improved by up to 2.64 times. Meanwhile, the wavelength demodulation error of this method can reach ±0.0016 nm, and the temperature demodulation accuracy is ±0.388 ℃ with a temperature sensing range of −30 to 250 ℃, meeting the high-precision demodulation requirements in various application scenarios.
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Bi Y, Xiong Z F, Li J W, et al. Demodulation method for GaAs optical fiber temperature sensing based on reference filter and cross-correlation algorithm[J]. Opto-Electron Eng, 2024, 51(9): 240143. doi: 10.12086/oee.2024.240143
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Figure 1.
Schematic diagram of demodulation method for GaAs fiber optic temperature sensing
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Figure 2.
GaAs temperature response data acquisition device diagram
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Figure 3.
Wavelength shift curve of GaAs crystals at different temperatures (scale-down). (a) Original spectrum; (b) Filtered normalized spectrum
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Figure 4.
(a) The LPF waveform after filtering and normalization processing; (b) Multi-quadratic polynomial fitting curve of cross-correlation shift number and correlation coefficient at 60 ℃
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Figure 5.
Temperature-wavelength shift fitting curve
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Figure 6.
Reflection spectrum with Gaussian noise at SNR of 20 dB
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Figure 7.
Comparison of noise resistance performance of different demodulation methods under Gaussian noise with SNR ratio of 3 to 54 dB
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Figure 8.
Enhancement ratio of LPF-C's noise resistance over NI and TC, in three channels
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