Aug 27 – 29, 2018
Paris, France
Europe/Paris timezone

Testing a Star Identification Algorithm for a Low-cost In-house Star Tracker

Aug 29, 2018, 9:30 AM
20m
Charpak room (Paris, France)

Charpak room

Paris, France

Pierre and Marie Curie campus Sorbonne University
talk Session 3: Small satellite missions, future missions and challenges Session 3: Small satellite missions

Speaker

Mr Chung-Sheng Lin (Graduate Institute of Space Science, National Central University, Taiwan)

Description

High accuracy attitude knowledge is a crucial requirement to achieve a successful scientific mission. A star identification algorithm [Luo et al., 2015] is selected for a low-cost in-house star tracker to minimize development cost. To maximize recognition rates, a new method considering spherical geometry is developed to align one star to the center of an image taken by the star tracker instead of Rodrigues’ rotation formula. The method is first written in MATLAB in prototype level and now rewritten in C for feasibly porting to other platforms. The star tracker is planned to install on a hybrid sounding rocket for validation and finally on CubeSat missions in the future. Reference: Luo, L., Li Xu, and H. Zhang (2015), An autonomous star identification algorithm based on one-dimensional vector pattern for star sensors, Sensor, 15(7):16412-16429, DOI: 10.3390/s150716412.

Primary authors

Mr Chi-Kuang Chao (Graduate Institute of Space Science, National Central University, Taiwan) Mr Chung-Sheng Lin (Graduate Institute of Space Science, National Central University, Taiwan)

Presentation materials