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针对光纤法布里-珀罗传感系统长时间运行时,数据采集等电路部分热噪声过大,造成压力信号相位解调误差过大的问题,建立了基于卡尔曼滤波算法的压力解调算法模型,使用卡尔曼滤波算法对光纤压力信号进行去噪处理.经过计算,当信噪比为15 dB的情况下相位解调误差低于0.1 rad,标准差缩小1 000倍,不同信噪比下,滤波后的相位解调标准差稳定在0.012~0.026 rad之间,绝对相位拟合直线的截距稳定在75.8~76.7.实验结果表明,经过降噪滤波处理的信号解调出的结果精度明显改善,提高了系统在噪声条件下的解调精度和整体稳定性.
Aiming at the problem that when the fiber optic Fabry-Perot sensor system is operated for a long time, the thermal noise of the circuit such as data acquisition is too large, the phase error of the pressure signal is too large. The pressure demodulation algorithm based on the Kalman filter algorithm Model, the Kalman filter algorithm is used to denoise the fiber pressure signal.After the calculation, when the signal-to-noise ratio is 15 dB, the phase demodulation error is less than 0.1 rad, the standard deviation is reduced by 1000 times, and under different SNR , The filtered standard deviation of phase demodulation is stable at 0.012 ~ 0.026 rad, and the intercept of the absolute phase fitting straight line is stable at 75.8 ~ 76.7. The experimental results show that the accuracy of the demodulated result of the signal after the noise reduction filtering is obvious Improve and improve the demodulation accuracy and overall stability of the system under noisy conditions.