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传统的光纤测距方法采用特征阻抗检测技术,受到回波信号的峰脊陡变效应的影响,测距精度不准确。提出一种引入数据冲突监测和碰撞思维的光纤优化测距算法。提取测距信息的数据冲突信息特征,对高稳定性低压差线性测距测量系统发出的主频进行分析,考虑不同坐标中心的偏差与测量误差,通过数据整合获得横波坐标位置定位。当入射两固体介质面或粘滞弹性界面时,分析反射和折射的横波碰撞过程,设计自适应滤波器,求得峰脊陡变信息分量回波相对于发射信号的时延,通过传感器测量位移和速度参数,实现光纤测距。实验和仿真结果表明,采用该算法能有效抑制峰脊陡变效应的影响,提高测距精度,在传感器设计与应用中具有较高价值。
The traditional optical fiber distance measurement method uses the characteristic impedance detection technique, which is affected by the steep ridge effect of the echo signal, and the ranging accuracy is not accurate. This paper presents an optical fiber optimization ranging algorithm which introduces data conflict monitoring and collision thinking. The data conflict information characteristic of ranging information is extracted, the main frequency of the high stability low dropout linear distance measuring system is analyzed, the deviation and measurement error of different coordinate centers are considered, and the location of transverse wave coordinate position is obtained through data integration. When incident on two solid medium surface or viscous elastic interface, the reflection and refraction of the shear wave collision process is analyzed, the adaptive filter is designed to obtain the peak crest of the information component echo relative to the delay of the transmitted signal, and the displacement is measured by the sensor Speed parameters, to achieve optical fiber distance measurement. Experimental and simulation results show that the proposed algorithm can effectively suppress the effect of sharp ridge peak steepness and improve the accuracy of ranging, which is of great value in sensor design and application.