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Study of de-noising based on EMD Algorithm in grating Moiré Fringe signal |
YANG Hua-hui1,2,LIU Fu2,FENG Wei-li3 |
1.Ordnance Engineering College, Shijiazhuang, Hebei 050003, China
2. Ordnance Technological Research Institute, Shijiazhuang, Hebei 050003, China
3. Beijing Aerospace Institute for Metrology and Measurement Technology, Beijing 100076, China |
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Abstract In view of the quality problem of metrological grating Moiré fringe signal, a method based on empirical mode decomposition (EMD) algorithm is presented for non-stationary metrological grating Moiré fringe signal de-noising. A non-stationary factual dynamic grating signal model was established. The simulation experiment of filtering analysis was conducted for several grating signal models with different noise by using the EMD algorithm advantages which is not required to define the filter parameters. The two indicators of SNR and RMSE shown that the EMD filtering outperforms the median and wavelet threshold methods. Add the high-order harmonic components to the sine & cosine ideal signals and the ideal compensation results of sine deviation error in metrological grating Moiré fringe signal de-noised processing can be verified by comparing before and after Lissajous figures of suppressing the high-order harmonics with EMD algorithm.
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Received: 22 February 2016
Published: 29 July 2016
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[1]王春海,张国雄,景芳盛.不依赖于长度基准的光栅细分精度的评定方法[J].计量学报,1995,16(1):6-11.
[2]刘文文,费业泰.高精度光栅信号细分算法[J].应用科学学报,1999,17(1):70-74.
[3]陈勇,陈慧宝,孙桂清,等.光栅莫尔条纹信号质量的提高及采样方法[J].上海大学学报(自然科学版),2004,10(2):129-132.
[4]罗华,高山,李翔龙.粗光栅信号全数字化处理法实现高倍数细分[J].光学精密工程,2007,15(2):283-288.
[5]吴宏圣,曾琪峰,乔栋,等.提高光栅莫尔条纹信号质量的滤波方法[J].光学精密工程,2011,19(8):1944-1949.
[6]程文涛,于连栋,费业泰.光栅信号鉴相细分模块的设计与Simulink仿真[J].系统仿真学报,2010,22(8):2006-2009.
[7]朱庆宝.用神经网络技术实现的高精度光栅测量装置[J].计量学报,2002,23(4):266-270.
[8]吕孟军,游有鹏,郭琪,等.莫尔条纹噪声控制及细分精度分析[J].西安电子科技大学学报,2009,36(1):184-188.
[9]王远干,喻洪麟,黄良明.基于小波分析的光栅信号质量评估方法[J].中国激光,2005,32(3):184-188.
[10]孙磊,张志利,谭立龙.采用小波阈值的时变光栅莫尔信号去噪方法[J].红外与激光工程,2010,39(3):576-580.
[11]刘浩,冯济琴,陈自然.基于预测理论的光栅信号精密细分方法研究[J].传感技术学报, 2015,28(4):469-473.
[12]高旭,万秋华,杨守旺,等.提高光电轴角编码器细分精度的改进粒子群算法[J].红外与激光工程,2013,42(6):1508-1513.
[13]Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proceedings of the Royal Society of London A, 1998, 454:903-995.
[14]王婷. EMD算法研究及在信号去噪中的应用[D]. 哈尔滨:哈尔滨工业大学, 2010.
[15]蒋立辉,符超,刘雯箐.基于自适应多尺度形态滤波与EMD的激光雷达回波信号去噪方法[J].红外与激光工程,2015,44(5):1673-1679.
[16]Yu J T, Zhao S Y, Wang Q. De-nosing of acoustic emission signals based on empirical mode decomposition and wave transform [J]. Journal of Harbin Institute of Technology, 2011, 43(10):88-92.
[17]张仙玲,高万荣,卞海溢.基于经验模式分解法的光学相干层析成像去噪研究[J].光电子·激光,2012,23(2):602-608
[18]Boudraa A O, Cexus J C. EMD-based signal filtering [J]. IEEE Transactions on Instrumentation and Measurement. 2007, 56(6):2196-2202.
[19]Flandrin P, Rilling G, Goncalves P. Empirical mode decomposition as a filter bank[J]. IEEE Signal Processing Letters, 2004, 11(2):112-114.
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