激光测振仪中最小均方误差前向预测器的研究  

Research on the forward predictor of minimum mean square error in laser vibrometer

作　　者：王之昊 张文喜 伍洲[1,2,3] 孔新新 王永彪[1,3] 郝义伟 Wang Zhihao;Zhang Wenxi;Wu Zhou;Kong Xinxin;Wang Yongbiao;Hao Yiwei(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;School of Optoelectronics,University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Computational Optical Imaging Technology,Chinese Academy of Sciences,Beijing 100094,China)

机构地区：[1]中国科学院空天信息创新研究院,北京100094 [2]中国科学院大学光电学院,北京100049 [3]中国科学院计算光学成像技术重点实验室,北京100094

出　　处：《光电工程》2022年第5期52-64,共13页Opto-Electronic Engineering

摘　　要：针对激光测振仪中的自适应滤波问题,本文采用最小均方误差前向预测器,仿真分析了振动测量信号的峰值、频率、滤波器阶数和步长系数等参数对最小均方误差前向预测器滤波性能的影响,并搭建实验系统进行了验证。研究结果可以作为最小均方误差前向预测器参数选择的理论依据,为设计适用于激光测振仪自适应滤波器提供技术手段。Aiming at adaptive filtering in the laser vibrograph,we simulated and analyzed the parameters of the Least Mean Square forward predictors,such as the peak value and frequency of the vibration measurement signal,the order of the filter and the step size coefficient on the filtering performance.Then we built an experimental system for verification,and an experimental system was built to verify it.The research results can be used as the theoretical basis for the parameter selection of the minimum mean square error forward predictor and provides a technical means for designing an adaptive filter suitable for laser vibrometer.

关 键 词：振动测量 自适应滤波 最小均方误差 前向预测器 

分 类 号：TN249[电子电信—物理电子学]