Infrared Earth sensorwith a large field of view for low-Earth-orbiting micro-satellites

Hao WANG , Zhi-yuan WANG , Ben-dong WANG , Zhong-he JIN , John L. CRASSIDIS

Front. Inform. Technol. Electron. Eng ›› 2021, Vol. 22 ›› Issue (2) : 262 -271.

PDF (1533KB)
Front. Inform. Technol. Electron. Eng ›› 2021, Vol. 22 ›› Issue (2) : 262 -271. DOI: 10.1631/FITEE.1900358
Orginal Article
Orginal Article

Infrared Earth sensorwith a large field of view for low-Earth-orbiting micro-satellites

Author information +
History +
PDF (1533KB)

Abstract

Infrared Earth sensors are widely used in attitude-determination and control systems of satellites. The main deficiency of static infrared Earth sensors is the requirement of a small field of view (FOV). A typical FOV for a static infrared Earth sensor is about 20◦ to 30◦, which may not be sufficient for low-Earth-orbiting microsatellites. A novel compact infrared Earth sensor with an FOV of nearly 180◦ is developed here. The Earth sensor comprises a panoramic annular lens (PAL) and an off-the-shelf camera with an uncooled complementary-metaloxide- semiconductor (CMOS) infrared sensor. PAL is used to augment FOV so as to obtain a complete infrared image of the Earth from low-Earth-orbit. An algorithm is developed to compensate for the distortion caused by PAL and to calculate the vector of the Earth. The new infrared Earth sensor is compact with low power consumption and high precision. Simulated images and on-orbit infrared images obtained via the micro-satellite ZDPS-2 are used to assess the performance of the new infrared Earth sensor. Experiments show that the accuracy of the Earth sensor is about 0.032◦.

Keywords

Infrared Earth sensor / Micro-satellite / Attitude determination system

Cite this article

Download citation ▾
Hao WANG, Zhi-yuan WANG, Ben-dong WANG, Zhong-he JIN, John L. CRASSIDIS. Infrared Earth sensorwith a large field of view for low-Earth-orbiting micro-satellites. Front. Inform. Technol. Electron. Eng, 2021, 22(2): 262-271 DOI:10.1631/FITEE.1900358

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (1533KB)

Supplementary files

FITEE-0262-20011-HW_suppl_1

FITEE-0262-20011-HW_suppl_2

892

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/