Paper
5 December 2024 Multinode GNSS-over-fiber 3D baseline measurement system with millimeter-level precision
Sihao Yang, Xiangchuan Wang, Lihan Wang, Xi Liu, Jingxian Wang, Shilong Pan
Author Affiliations +
Proceedings Volume 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024); 134181C (2024) https://doi.org/10.1117/12.3048039
Event: 15th International Conference on Information Optics and Photonics (CIOP2024), 2024, Xi’an, China
Abstract
A high-precision multinode GNSS-over-fiber three-dimensional (3D) baseline measurement system has been proposed for extensive structure health monitoring, distributed coherent radar, etc. In the proposed system, satellite signals received on different antennas are transmitted to the GNSS receiver based on wavelength-division multiplexing, while a phase-derived ranging technique based on time-division multiplexing is also applied to measure multi-path delay from different nodes in the same transmission optical fiber. The delay errors are compensated to eliminate hardware latency errors, achieving a 3D baseline with higher precision. The proposed method features high accuracy and long distance and satisfies the need for real-time monitoring of the transmission status of multiple GNSS signals. A proof-of-concept experiment is set up and shows that this system can measure the 3D baseline vectors of more than three nodes within a range of 10 km while improving the accuracy of the vertical components to below 4 mm.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Sihao Yang, Xiangchuan Wang, Lihan Wang, Xi Liu, Jingxian Wang, and Shilong Pan "Multinode GNSS-over-fiber 3D baseline measurement system with millimeter-level precision", Proc. SPIE 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024), 134181C (5 December 2024); https://doi.org/10.1117/12.3048039
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KEYWORDS
3D metrology

3D modeling

Satellite navigation systems

Antennas

Satellites

Optical transmission

Receivers

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