光纤传感器非周期低频动态信号相位载波解调方法研究
Research on phase carrier demodulation method of aperiodic low frequency dynamic signal of optical fiber sensor
叶萧然 1陈改霞 1董慧敏1
作者信息
- 1. 河南理工大学鹤壁工程技术学院,河南鹤壁 458030
- 折叠
摘要
为了提高光纤传感器非周期低频动态信号的相位载波解调效果,提出光纤传感器非周期低频动态信号相位载波解调方法研究.采用自适应波束形成算法增强非周期低频动态信号的细节信息;通过奇异值分解算法提取信号的特征;将提取的特征输入到基于双扩展卡尔曼滤波的CD3S信号解调模型中,通过卡尔曼滤波结构剔除噪声;通过联合估计实现动态信号的扩频码同步,完成光纤传感器非周期低频动态信号相位载波解调.实验结果表明,所提方法在有无噪声干扰下解调误码率均处于1.0％以下,解调后位移误差低至12 pm,提高了解调效果和抗噪声能力.
Abstract
In order to improve the phase carrier demodulation effect of aperiodic low frequency dynamic signal of optical fiber sensor,the phase carrier demodulation method of aperiodic low frequency dynamic signal of optical fiber sensor is proposed.Adaptive beamforming algorithm is used to enhance the details of aperiodic low-frequency dynamic signals;The signal features are extracted by singular value decomposition algorithm;The extracted features are input into the CD3S signal demodulation model based on the double extended Kalman filter,and the noise is eliminated through the Kalman filter structure;Through joint estimation,the spread spectrum code synchronization of the dynamic signal is realized,and the phase carrier demodulation of the aperiodic low-frequency dynamic signal of the optical fiber sensor is completed.The experimental results show that the demodulation error rate of the proposed method is below 1.0％with or without noise interference,and the displacement error after demodulation is as low as 12 pm,which im-proves the demodulation effect and anti-noise ability.
关键词
自适应波束形成/奇异值分解/CD3S信号解调模型/双扩展卡尔曼滤波/联合估计Key words
adaptive beamforming/singular value decomposition/CD3S signal demodulation model/double ex-tended kalman filter/joint estimation引用本文复制引用
基金项目
河南省高等学校重点科研项目(22B520018)
河南省高等学校重点科研项目(22B470007)
出版年
2024
NETL
NSTL
万方数据