Phase tracking using a Kalman filter based on probability density distribution in frequency-scanning interferometry.
Opt Express
; 32(12): 20571-20588, 2024 Jun 03.
Article
em En
| MEDLINE
| ID: mdl-38859436
ABSTRACT
Frequency-scanning interferometry (FSI) utilizing external cavity diode lasers (ECDL) stands out as a potent technique for absolute distance measurement. Nevertheless, the inherent scanning nonlinearity of ECDL and phase noise pose a challenge, as it can compromise the accuracy of phase extraction from interference signals, thereby reducing the measurement accuracy of FSI. In this study, we propose a composite algorithm aimed at mitigating non-orthogonal errors by integrating the least-squares and Heydemann correction technique. Furthermore, we employ Kalman filtering for precise phase tracking. We introduce a parameter selection strategy based on the statistical distribution of instantaneous frequency to achieve the fusion estimation of phase observation values and theoretical models, which starts a new perspective for the application of multi-dimensional data fusion in FSI measurement. Through simulation and experimental validation, the efficacy of this approach is confirmed. The experimental results show promising outcomes:
with an average phase error of 0.12%, a standard deviation of less than 1.7â µm in absolute distance measurement, and an average positioning accuracy error of 0.29â µm.
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Coleções:
01-internacional
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MEDLINE
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article