Paper
23 January 2023 A dual comb ranging processing method for the target under vibration
Jian Geng, Xiaofei Wang, Wen Jin, Xinfeng Yan, Gaosi Li, Youjian Song
Author Affiliations +
Proceedings Volume 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 125572E (2023) https://doi.org/10.1117/12.2652068
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China
Abstract
To reduce the measurement error in the vibration scenario, this paper proposes a cooperative post-processing method based on the measured overload information and Kalman filter. In order to make the equation of motion more accurately, the target measures and shares its overload information to the source. The source then calculates the overall overload information and perform Kalman filter to the real-time measured data. The performance evaluation is carried out through a physical measurement test and a post-processing simulation. The real-time measuring data is updated at 200Hz while the vibration frequency is about 1Hz. The simulation results show that the proposed method can reduce the measurement error by about 9.9 times and is insensitive to the common time synchronization error and overload measurement error.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Geng, Xiaofei Wang, Wen Jin, Xinfeng Yan, Gaosi Li, and Youjian Song "A dual comb ranging processing method for the target under vibration", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 125572E (23 January 2023); https://doi.org/10.1117/12.2652068
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Filtering (signal processing)

Ranging

Distance measurement

Error analysis

Light

Motion measurement

Back to Top