@inproceedings{067bd4e144fb4f9898da17d4f6805608,
title = "Improving the accuracy of laser self-mixing interferometry for velocity measurement",
abstract = "Self-mixing interferometry (SMI) employs fewer components, leading to a compact, robust and low cost system. In this paper, the main error sources of SMI for velocity measurement are analyzed and a simple error model is proposed. The dependence of signal amplitude and relative error on the incident angle is acquired by experiment. With the comparison of simulations and experiments, the proposed model is proved that relative errors could be reduced by decreasing the incident angle. To reduce the error of Doppler frequency estimation, the block splitting and averaging techniques are used. Finally, with a commercial laser Doppler velocimeter (LDV) the comparison between sensors demonstrates that the accuracy of SMI is close to that of LDV.",
keywords = "Incident angle, Interferometric sensor, LDV, Laser self-mixing, Relative error, Velocity",
author = "Hui Sun and Liu, \{Ji Gou\} and Ralph Kennel",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2017 ; Conference date: 22-05-2017 Through 25-05-2017",
year = "2017",
month = jul,
day = "5",
doi = "10.1109/I2MTC.2017.7969922",
language = "English",
series = "I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings",
}