Proton Radiation Effects of CMOS Image Sensors on Different Star Map Recognition Algorithms for Star Sensors
-
Published:2023-03-30
Issue:7
Volume:12
Page:1629
-
ISSN:2079-9292
-
Container-title:Electronics
-
language:en
-
Short-container-title:Electronics
Author:
Cui Yihao123, Feng Jie12, Li Yudong12, Wen Lin12, Guo Qi12
Affiliation:
1. Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China 2. Xinjiang Key Laboratory of Electronic Information Material and Device, Urumqi 830011, China 3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract
Star sensors are widely used by satellites for their precise pointing accuracy. However, protons in space will cause cumulative effects and single-event transients in the imaging systems of star sensors. These effects will affect the success rate of star map recognition of star sensors. In this paper, proton irradiation experiments and field tests were carried out in turn, and three typical star recognition algorithms were used to recognize the star maps. The results showed that cumulative effects led to a decrease in the number of identifiable stars, which greatly affected the recognition success rate of the grid algorithm. Hot pixels caused by displacement damage effects increased the star centroid positioning error, leading to a decrease in the recognition success rate of the triangle algorithm and pyramid algorithm. Single-event transients produced by protons hitting the image sensor are similar to the grayscale value and shape of a star, and were recognized as “false stars”, which had a significant impact on the success rate of the three recognition algorithms. In general, the pyramid algorithm was more effective than the other two algorithms in identifying the affected star map, and the recognition success rate of the grid algorithm was significantly reduced.
Funder
National Natural Science Foundation of China West Light Talent Training Plan of the Chinese Academy of Sciences Youth Science and Technology Talents Project of Xinjiang Uygur Autonomous Region Tianshan Innovation Team Program of Xinjiang Uygur Autonomous Region
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference23 articles.
1. He, L., Ma, Y., Zhao, R., Hou, Y., and Zhu, Z. (2021). High update rate attitude measurement method of star sensors based on star point correction of rolling shutter exposure. Sensors, 21. 2. Star trackers for attitude determination;Liebe;IEEE Aerosp. Electron. Syst. Mag.,1995 3. Saint-Pe, O., Tulet, M., Davancens, R., Larnaudie, F., Magnan, P., Martin-Gonthier, P., Corbiere, F., Belliot, P., and Estribeau, M. (2004, January 13–16). Research-grade CMOS image sensors for remote sensing applications. Proceedings of the Sensors, Systems, and Next-Generation Satellites VIII, Canary Islands, Spain. 4. Sukhavasi, S.B., Sukhavasi, S.B., Elleithy, K., Abuzneid, S., and Elleithy, A. (2021). CMOS image sensors in surveillance system applications. Sensors, 21. 5. Li, J., Liu, J., Li, X., Liu, Y., and Hao, Z. (2004, January 8–11). CMOS APS imaging system application in star tracker. Proceedings of the Advanced Materials and Devices for Sensing and Imaging II, Beijing, China.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|