A filter algorithm based on ARMA model to suppress the influence of atmospheric disturbance in laser straightness measurement

Yayong Wang; ShuJie Liu; Shixin Zhang; Yubin Huang; Kuangchao Fan

doi:10.1117/12.2511948

7 March 2019 A filter algorithm based on ARMA model to suppress the influence of atmospheric disturbance in laser straightness measurement

Yayong Wang, ShuJie Liu, Shixin Zhang, Yubin Huang, Kuangchao Fan

Author Affiliations +

Proceedings Volume 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation; 110532L (2019) https://doi.org/10.1117/12.2511948
Event: 10th International Symposium on Precision Engineering Measurements and Instrumentation (ISPEMI 2018), 2018, Kunming, China

Abstract

Atmospheric disturbance influence the measurement accuracy greatly in laser precision measurement of long distance. A real-time filtering algorithm based on time series analysis theory is proposed in this paper. Firstly, ARMA (Auto-Regressive and Moving Average) model of sample data is set up based on the theory of time series analysis, then the mathematical expectation is obtained according to the model as the filtering result, finally, it is integrated into the laboratory laser beam drift measurement system for real-time filtering measurement. It is evident from the simulation results that high accuracy can be obtained after filtering. The experimental results show that the stability of the filtered drift increases by about 20%.

Citation Download Citation

Yayong Wang, ShuJie Liu, Shixin Zhang, Yubin Huang, and Kuangchao Fan "A filter algorithm based on ARMA model to suppress the influence of atmospheric disturbance in laser straightness measurement", Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 110532L (7 March 2019); https://doi.org/10.1117/12.2511948

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