Design of a self-referenced laser scanning and ranging system
Abstract The laser scanning and ranging system (LSRS) is a pivotal technology for conducting high-precision multi-dimensional measurements, with diverse applications in remote sensing, satellite formation flying, and surface profilometry. However, the capability to achieve accurate measurement of the current system is limited by the beam-pointing mechanism. Specifically, the rotation angle of the beam-pointing mechanism is too small to achieve zero-position self-calibration, and this mechanism can introduce errors that exceed the precision of distance measurement. Herein, we propose a self-referenced LSRS that can directly determine the measurement origin and avoid motion-induced optical path length errors into the interferometric arms. This system is achieved by placing the reference arm of the measurement system after the beam-pointing mechanism in the optical path. Using a dual-comb ranging system with a precision of ∼0.8 μm, we validated the performance of our design through scanning experiments with hollow retroreflectors and surface profile reconstruction of a gauge-block assembly. The experimental results demonstrate that our design achieves accurate measurements without pre-calibration or post-compensation, thereby enhancing its applicability to next-generation space missions.
Authors
- Lin Xiao (ORCID: https://orcid.org/0000-0003-3172-3490)
- Hongzhi Yang (ORCID: https://orcid.org/0000-0003-3819-5707)
- Guanhao Wu (ORCID: https://orcid.org/0000-0002-0814-2578)
- Liheng Shi (ORCID: https://orcid.org/0000-0002-0813-3962)
- Lin Li (ORCID: https://orcid.org/0000-0003-4163-2074)
- Yang Xie
- Siyu Zhou (ORCID: https://orcid.org/0000-0002-0628-9808)
- Yuan Ding (ORCID: https://orcid.org/0000-0003-0678-6190)
- Ruixue Zhang (ORCID: https://orcid.org/0000-0001-9002-8928)
- Qingzhao Yang (ORCID: https://orcid.org/0009-0000-3856-1987)
Institutions
- China Academy of Space Technology (CN)
- China Aerospace Science and Technology Corporation (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Measurement Science and Technology
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1088/1361-6501/ad950d
- Citations
- 3
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.62
Funders
- National Natural Science Foundation of China