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PGC-Arctan demodulation method based on improved IKEF

  • Hao Li
    ,
  • Li Li
    ,
  • Kuo Sun
    ,
  • Yanling Tian
    ,
  • Dayou Li
    ,
  • Zuobin Wang
  • Changchun University of Science and Technology
    ,
  • University of Warwick
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The proposed method is an improvement on the traditional PGC demodulation technique, specifically addressing the impact of carrier phase delay, modulation depth drift, and low-frequency ambient noise on phase demodulation accuracy in phase-modulated homodyne interferometers. It utilises an improved iterative extended Kalman filtering (IEKF) approach. The algorithm enhances the iterative updating process by incorporating a damping factor into the traditional IEKF. This enables optimal estimation and correction of the parameters of the PGC quadrature signals, resulting in reduced nonlinear error in the demodulation process. Additionally, the improved algorithm achieves higher demodulation accuracy. Simulation results demonstrate the method's effectiveness in eliminating nonlinear error in phase generation carrier.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 618-622 (5 pages)

Publication milestones

  • Published - 03/12/2024

Publication status

Published - 03/12/2024

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: 2024 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2024

ISBN (Print)

9798350362107

ISBN (Electronic)

9798350362107

External Publication IDs

  • handle.net: 10547/626873
  • Scopus: 85214358713

Host publication title

2024 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2024

Host publication editors

  • Ying Wang
  • Yuxiao Cui
  • Jingran Zhang
  • Miao Yu
  • Hao Wu
  • Zuobin Wang

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