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Algorithm with Patterned Singular Value Approach for Highly Reliable Autonomous Star Identification

Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
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Sensors 2020, 20(2), 374; https://doi.org/10.3390/s20020374
Received: 9 December 2019 / Revised: 3 January 2020 / Accepted: 7 January 2020 / Published: 9 January 2020
(This article belongs to the Special Issue Sensor Systems for Satellite Attitude Determination)
In the work reported in this paper, a lost-in-space star pattern identification algorithm for agile spacecraft was studied. Generally, the operation of a star tracker is known to exhibit serious degradation or even failure during fast attitude maneuvers. While tracking methods are widely used solutions to handle the dynamic conditions, they require prior information about the initial orientation. Therefore, the tracking methods may not be adequate for autonomy of attitude and control systems. In this paper a novel autonomous identification method for dynamic conditions is proposed. Additional constraints are taken into account that can significantly decrease the number of stars imaged and the centroid accuracy. A strategy combining two existing classes for star pattern identification is proposed. The new approach is intended to provide a unique way to determine the identity of stars that promises robustness against noise and rapid identification. Moreover, representative algorithms implemented in actual space applications were utilized as counterparts to analyze the performance of the proposed method in various scenarios. Numerical simulations show that the proposed method is not only highly robust against positional noise and false stars, but also guarantees fast run-time, which is appropriate for high-speed applications. View Full-Text
Keywords: agile satellite; star tracker; star identification; star pattern recognition; singular value; pattern matching agile satellite; star tracker; star identification; star pattern recognition; singular value; pattern matching
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MDPI and ACS Style

Kim, K.; Bang, H. Algorithm with Patterned Singular Value Approach for Highly Reliable Autonomous Star Identification. Sensors 2020, 20, 374. https://doi.org/10.3390/s20020374

AMA Style

Kim K, Bang H. Algorithm with Patterned Singular Value Approach for Highly Reliable Autonomous Star Identification. Sensors. 2020; 20(2):374. https://doi.org/10.3390/s20020374

Chicago/Turabian Style

Kim, Kiduck; Bang, Hyochoong. 2020. "Algorithm with Patterned Singular Value Approach for Highly Reliable Autonomous Star Identification" Sensors 20, no. 2: 374. https://doi.org/10.3390/s20020374

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