Structure optimization for airborne multi-FOV star trackers

Jisan Yang; Jie Jiang; Lingfeng Tian

doi:10.1117/12.2616324

8 July 2022 Structure optimization for airborne multi-FOV star trackers

Jisan Yang, Jie Jiang, Lingfeng Tian

Proceedings Volume 12282, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 1228211 (2022) https://doi.org/10.1117/12.2616324
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

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.

Citation Download Citation

Jisan Yang, Jie Jiang, and Lingfeng Tian "Structure optimization for airborne multi-FOV star trackers", Proc. SPIE 12282, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 1228211 (8 July 2022); https://doi.org/10.1117/12.2616324

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