基于EMD算法的光栅莫尔条纹信号去噪方法研究

doi:10.3969/j.issn.1000-1158.2016.05.03

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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.

Key words： metrology grating Moiré fringe signal EMD Algorithm de-noising filter analysis

Received: 22 February 2016 Published: 29 July 2016

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TB92

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	Articles by authors
	YANG Hua-hui
	LIU Fu
	FENG Wei-li

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YANG Hua-hui,LIU Fu,FENG Wei-li. Study of de-noising based on EMD Algorithm in grating Moiré Fringe signal[J]. Acta Metrologica Sinica, 2016, 37(5): 467-471.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2016.05.03 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2016/V37/I5/467

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