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Oblique rotational axis detection using elliptical optical vortex based on rotational Doppler effect

Optics 2025-01-03 v1

Abstract

The rotational Doppler effect (RDE) of structured light carrying orbital angular momentum (OAM) has attracted widespread attention for applications in optical sensors and OAM spectrum detection. These studies, however, based on RDE, are mostly focused on the motion parameters of rotating objects; other equally important attitude characteristics, e.g., the tilt angle of the axis of rotation, have rarely been considered. We observed an interesting phenomenon in the experiments: the rotational Doppler spectral distribution varies with the ellipticity of the elliptical optical vortex (EOV) and the tilt angle between the rotational axis and optical axis, which inspired us to wonder if it is possible to detect oblique rotational axis or compensate the rotational Doppler broadening effect induced by oblique incidence by utilizing the EOV. Here, we reveal the RDE quantitative relationship with tilt angle and ellipticity for the first time and report a novel approach for tilt angle measurement. By employing a series of EOV with periodically varying ellipticity to illuminate a rotating object and analyze the time-frequency spectral distribution of scattered light associated with ellipticity and tilt angle, the tilt angle can be acquired accurately based on the specific relationship between the tilt angle and ellipticity of the EOV. Furthermore, the spectrum broadening effect arising from oblique incidence in the actual scenario may be addressed through our scheme. The method may find applications in industrial manufacturing and target attitude measurement, and our results provide new insights for obtaining more information about objects.

Keywords

Cite

@article{arxiv.2501.01036,
  title  = {Oblique rotational axis detection using elliptical optical vortex based on rotational Doppler effect},
  author = {Xiangyang Zhu and Yuan Ren and Yaohui Fan and Xinyi Wen and Xiaocen Chen and Ruoyu Tang and You Ding and Zhengliang Liu and Tong Liu},
  journal= {arXiv preprint arXiv:2501.01036},
  year   = {2025}
}
R2 v1 2026-06-28T20:54:16.304Z