Prediction Aerospace Software to Detect Solar Activity and the Fast Tracking of Solar Activity Using Remote Sensing Instruments in Orbit

doi:10.3390/rs15133288

CIOMP OpenIR

	Prediction Aerospace Software to Detect Solar Activity and the Fast Tracking of Solar Activity Using Remote Sensing Instruments in Orbit
	Y. Shao, X. Yang, Z. Li, Y. Huang, B. Li, G. Lin, X. Guo and J. Li
	2023
发表期刊	Remote Sensing
ISSN	20724292
卷号	15 期号:13
摘要	At present, solar remote sensing instruments face problems regarding the short detection time for solar activity and the need to preheat the electronics before detection. The accurate orbit prediction function ensures that the maximum error of the payload electronics system preheating time is less than 8 s, enabling the electronics to obtain stable and reliable solar remote sensing data, and allowing the prediction function to adapt to the changes in preheating time and the limit position of turntable rotation. To achieve the complete detection of solar activity by a payload in orbit, a turntable with two directions of rotation was accurately controlled to achieve rapid capture and track the Sun’s activity, and the delay time for tracking the Sun successfully was less than 8 s to ensure that the payload made full use of the solar detection time for full detection. The turntable’s tracking error was less than 0.002°, allowing the payload to obtain high-precision solar remote sensing data in orbit. The above methods enable the payload to realize the complete, stable, and high-precision detection of solar activity in orbit for wavelengths ranging approximately from 165 nm to 2400 nm. © 2023 by the authors.
DOI	10.3390/rs15133288
URL	查看原文
收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67834
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y. Shao, X. Yang, Z. Li, Y. Huang, B. Li, G. Lin, X. Guo and J. Li. Prediction Aerospace Software to Detect Solar Activity and the Fast Tracking of Solar Activity Using Remote Sensing Instruments in Orbit[J]. Remote Sensing,2023,15(13).
APA	Y. Shao, X. Yang, Z. Li, Y. Huang, B. Li, G. Lin, X. Guo and J. Li.(2023).Prediction Aerospace Software to Detect Solar Activity and the Fast Tracking of Solar Activity Using Remote Sensing Instruments in Orbit.Remote Sensing,15(13).
MLA	Y. Shao, X. Yang, Z. Li, Y. Huang, B. Li, G. Lin, X. Guo and J. Li."Prediction Aerospace Software to Detect Solar Activity and the Fast Tracking of Solar Activity Using Remote Sensing Instruments in Orbit".Remote Sensing 15.13(2023).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Prediction Aerospace（3899KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载