基于无迹卡尔曼滤波的振动传感解调方法
Vibration Sensing Demodulation Method Based on Unscented Kalman Filter
樊融 1初凤红 1卞正兰1
作者信息
- 1. 上海电力大学电子与信息工程学院,上海 200090
- 折叠
摘要
为了解决实际应用过程中振动传感系统受噪声影响和解调精度差的问题,利用无迹卡尔曼滤波器预测并修正了干涉信号系数,再通过微分交叉相乘方法解调得到精确的振动信号.仿真结果表明,与常用的椭圆拟合方法相比,该方法具有更好的精度和抗噪声能力.将所提方法应用于基于分布式反馈光纤激光器的光纤振动传感系统进行实验,结果表明,当信噪比为6 dB时,解调精度为最小二乘法的4倍.
Abstract
In order to solve the problem of poor demodulation accuracy of vibration sensing systems affected by noise during practical applications,the interference signal coefficients are predicted and corrected using the Unscented Kalman Filter,and then the accurate vibration signals are obtained by the demodulation through the differential cross-multiplication method.Simulation results show that the method has better accuracy and noise immunity compared with the commonly used ellipse fitting method.The proposed method is applied to a fiber optic vibration sensing system based on a distributed feedback fiber laser as experiments,and the results show that when the SNR is 6 dB,the demodulation accuracy is four times that of the least squares method.
关键词
振动传感/DFB激光器/无迹卡尔曼滤波/椭圆拟合/降噪Key words
vibration sensing/DFB laser/unscented kalman filter/ellipse fitting/noise reduction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据