Abstract
Considering the issue of noise reduction associated with self-mixing interference (SMI), the paper presented an empirical mode decomposition (EMD) filter algorithm for SMI laser sensor that enables more accurate reconstruction of the displacement information from an SMI signal. The performance of the algorithm is studied. It is shown that the algorithm are capable of removing white noise and high frequency noise and so on. The phase unwrapping displacement reconstructions method based on this algorithm have been experimentally validated, with laser subject to the weak and moderate feedback regime, strong feedback regime. The experimental results shown that the method could reduce reconstruction error in simulations and experiments.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
