Mr. Lingfeng Tian Profile

Lingfeng Tian

at Beihang Univ

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Proceedings Article | 8 July 2022 Paper

A calibration method of structural model for multi-FOV star tracker based on theodolite crosshair imaging

Lingfeng Tian, Jie Jiang, Jisan Yang

Proceedings Volume 12282, 1228214 (2022) https://doi.org/10.1117/12.2616369

KEYWORDS: Stars, Calibration, Reticles, Telescopes, Optical tracking, Objectives, Distortion, Image sensors, Prisms, Data modeling

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Compared with the traditional single field of view (FOV) star tracker, the multi-FOV star tracker has the advantages of equal measurement accuracy on three axes and better dynamic performance. The measurement accuracy of a multi-FOV star tracker is directly determined by the accuracy of the structural model. However, existing structural model calibration methods cannot be applied to the high precision multi-FOV star trackers with large size and weight. To solve this issue, a calibration method of the structural model for the multi-FOV star tracker based on theodolite crosshair imaging is proposed. An imaging model of theodolite crosshair in star tracker is established which elaborates the relationship between the theodolite angles and the star tracker images. Multiple theodolites are utilized to pair each FOV of the star tracker. In each pair, through collecting the angles measured by the theodolite and the images captured by the star tracker, the rotation between the theodolite frame and the star tracker FOV frame could be solved. Additionally, the rotations between theodolite frames are obtained by mutual collimation of theodolites. Finally, the structural model which contains the rotations between the different FOV frames is acquired by merging the above rotations. Structural model calibration experiments of a multi-FOV star tracker with a large size and weight have been conducted. The experimental result indicated that the mean star angular distance error between FOVs was less than 10 arcseconds. The accuracy of the calibration result met the practical requirements. The proposed method is free from the influence of the size and weight of multi-FOV star trackers and maintains high calibration accuracy.

Proceedings Article | 8 July 2022 Paper

Structure optimization for airborne multi-FOV star trackers

Jisan Yang, Jie Jiang, Lingfeng Tian

Proceedings Volume 12282, 1228211 (2022) https://doi.org/10.1117/12.2616324

KEYWORDS: Stars, Refraction, Atmospheric modeling, Atmospheric sensing, Monte Carlo methods, Reliability, Refractive index, Navigation systems, Optical testing, Optical character recognition

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An airborne multiple-field-of-view (multi-FOV) star tracker operating inside the atmosphere has particular limitations in observation. It is necessary to optimize its structure parameters for improving its attitude determination and reliability in the working circumstances. In this paper, performance simulations for different multi-FOV structures are carried out. In the simulation design, the terrain occlusion, stellar atmospheric refraction, and atmospheric extinction are the main considerations. When conducting the simulation experiments, within the permitted attitude ranges, abundant random attitude of a star tracker was generated for performance testing, including three-axis attitude error and stellar detection probability. The results show that, with no refraction exists, when the tilt angle of the boresight of each FOV is at 40°~45°, regardless of which structural layout is adopted, both the attitude measurement accuracy and the stellar detect probability of single FOV is relatively high. With refraction exists, the tilt angles of the boresights are larger, the attitude measurement error is greater. For an airborne multi-FOV star tracker, a FOV with 0° tilt angle is necessary to promote its reliability.

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