Unspecified Sichang Yan Profile

Sichang Yan

at Beijing Institute of Control Engineering

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Proceedings Article | 24 November 2023 Paper

Spatial separation of azimuthally and radially polarized beams via patterned liquid-crystal alignment induced by sparse polymer ribbons

Mingce Chen, Hengkang Zhang, Sichang Yan, Li Wang, Loulou Deng, Lin Li, Zihan Wang

Proceedings Volume 12935, 129350S (2023) https://doi.org/10.1117/12.3004162

KEYWORDS: Liquid crystals, Optical alignment, Refractive index, Birefringence, Optical properties

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With the principle of electrically controlled birefringence (ECB), we propose a new method to spatially separate the azimuthally and radially polarized beams. The method is premised on a regularized arrangement of liquid-crystal (LC) induced by sparse polymer ribbons.The ECB effect was achieved by a hole-patterned LC device with an initial radial alignment, which is induced by polymer ribbons pre-fabricated on the substrate. The polymer ribbons were formed on the substrate via the ultraviolet (UV) mask exposure method, which has the advantages of low cost, simple fabrication process and can be used for mass production. When the voltage signals are applied to the fabricated LC device, a gradient refractive index distribution will form inside the device. Restricted by the inherent polarization-sensitive properties of the nematic phase, it corresponds to the extraordinary optical component, which is exactly the radially polarized beam. According to the above principle, the extraordinary and ordinary polarized components can be separated. Experiments demonstrated that the spatial separation was effectively achieved by the proposed LC device. The proposed method has provided an approach for the light field manipulation based on patterned liquid crystal alignment.

Proceedings Article | 1 June 2021 Paper

Star centroid extraction in stray light background for star sensor

Qing Xu, Chun-hui Zhao, Chuan Qiao, Si-chang Yan, Peng-bo Yan

Proceedings Volume 11848, 1184804 (2021) https://doi.org/10.1117/12.2600090

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The accuracy of star centroid extraction for star sensor is decreased in the stray light background due to the gray gradients of the star image, a star centroid extraction algorithm based on background removal by least square method is proposed. Firstly, the influence of stray light background on star centroid extraction is analyzed, and the result shows that the systematic error of star centroid extraction is proportion to the background gray gradients. In order to reduce the systematic error, the least square method is used to fit the window edge pixels to obtain the stray light background image, and then the star centroid is extracted through threshold centroid algorithm after removing the stray light background of the star image. The accuracy of star centroid extraction algorithm is simulated through the practical stray light background images. Compared with the traditional threshold centroid algorithm, the systematic error of star centroid extraction can be reduced from 0.021 pixels to 0.002 pixels. The validity of the algorithm is verified by field star observing experiments for star sensor at Xinglong observation station, and the angular distance of the navigation stars is measured and compared with the Hipparcos catalogue. The systematic error of angular distance is reduced from 0.307″ to 0.013″ after the stray light background has been removed by least square method while the operation time is only increased by 6.3%, which can meet the engineering requirements.

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