Published December 13, 2019 | Version v1
Journal article

Laser self-mixing based on peak–valley point detection algorithm for displacement reconstruction

  • 1. Northeast Petroleum University. College of Electrical and Information Engineering (China)

Description

The peak–valley point serves as the intersection for the derivative of both the self-mixing interference signal and its anti-cosine transform. In this study, a peak–valley point detection algorithm based on the phase unwrapping method for self-mixing interference was proposed, The proposed method had the advantage of identifying the peak–valley point without setting a threshold. In addition, the relative error of the algorithm did not exceed 1% of the simulation signal, when the optical feedback factor is within the range from 0.1 to 4. Further, the experimental results were found to be in accordance with the theoretical analysis, with a relative error of 4.9%.

Additional details

Identifiers

Publishing Information

Journal Title
Optical and Quantum Electronics
Journal Volume
52
Journal Issue
1
Journal Page Range
vp.
ISSN
0306-8919
CODEN
OQELDI

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55106543
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ALGORITHMS; DETECTION; ERRORS; FEEDBACK; FREQUENCY MIXING; INTERFERENCE; LASER RADIATION; LASER SPECTROSCOPY; LASERS; MIXING; OPTICS; PEAKS; SIGNALS; SIMULATION
Descriptors DEC
ELECTROMAGNETIC RADIATION; MATHEMATICAL LOGIC; RADIATIONS; SPECTROSCOPY

Optional Information

Copyright
Copyright (c) 2019 © Springer Science+Business Media, LLC, part of Springer Nature 2019