Full Text:   <4323>

Summary:  <1372>

CLC number: V447

On-line Access: 2021-02-01

Received: 2019-07-18

Revision Accepted: 2019-12-24

Crosschecked: 2020-05-18

Cited: 0

Clicked: 4396

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Hao Wang

https://orcid.org/0000-0002-0383-7258

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.2 P.262-271

http://doi.org/10.1631/FITEE.1900358


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


Author(s):  Hao Wang, Zhi-yuan Wang, Ben-dong Wang, Zhong-he Jin, John L. Crassidis

Affiliation(s):  School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   roger@zju.edu.cn

Key Words:  Infrared Earth sensor, Micro-satellite, Attitude determination system


Hao Wang, Zhi-yuan Wang, Ben-dong Wang, Zhong-he Jin, John L. Crassidis. Infrared Earth sensor with a large field of view for low-Earth-orbiting micro-satellites[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(2): 262-271.

@article{title="Infrared Earth sensor with a large field of view for low-Earth-orbiting micro-satellites",
author="Hao Wang, Zhi-yuan Wang, Ben-dong Wang, Zhong-he Jin, John L. Crassidis",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="2",
pages="262-271",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900358"
}

%0 Journal Article
%T Infrared Earth sensor with a large field of view for low-Earth-orbiting micro-satellites
%A Hao Wang
%A Zhi-yuan Wang
%A Ben-dong Wang
%A Zhong-he Jin
%A John L. Crassidis
%J Frontiers of Information Technology & Electronic Engineering
%V 22
%N 2
%P 262-271
%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900358

TY - JOUR
T1 - Infrared Earth sensor with a large field of view for low-Earth-orbiting micro-satellites
A1 - Hao Wang
A1 - Zhi-yuan Wang
A1 - Ben-dong Wang
A1 - Zhong-he Jin
A1 - John L. Crassidis
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
IS - 2
SP - 262
EP - 271
%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1900358


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 micro-satellites. 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-metal-oxide-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°.

适用于低轨微小卫星的大视场红外地球敏感器


王昊1,王志远1,王本冬1,金仲和1,John L. CRASSIDIS2
1浙江大学航空航天学院,中国杭州市,310027
2纽约州立大学布法罗分校机械与航天工程系,美国布法罗市,14260-4400

摘要:红外地球敏感器广泛应用于卫星姿态确定和控制系统中。静态红外地球敏感器的主要缺点是视场较小,其典型视场约为20°至30°,可能不适用于近地轨道的微型卫星。设计了一种新型的小型红外地球敏感器,其视场接近180°。该地球敏感器包括全景环形透镜(PAL)和红外CMOS传感器。PAL镜头用于增强视场,从而从近地轨道获得完整的地球红外图像,据此提出一种补偿PAL引起的畸变和计算地球矢量的算法。新型红外地球敏感器结构紧凑,功耗低,精度高。利用ZDPS-2微小卫星获得在轨红外图像和模拟图像,评估新型红外地球敏感器的性能,实验表明其精度约为0.032°。

关键词:红外地球敏感器;微小卫星;姿态确定系统

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Alperovich V, Topaz JM, 1995. Correction of errors due to profile shape in static Earth horizon sensors. Proc 9th Meeting on Optical Engineering in Israel, p.336-344.

[2]Chen TC, Chung KL, 2001. An efficient randomized algorithm for detecting circles. Comput Vis Image Underst, 83(2):172-191.

[3]Crassidis JL, Markley FL, 2016. Three-axis attitude estimation using rate-integrating gyroscopes. J Guid Contr Dynam, 39(7):1513-1526.

[4]Deng LL, Mei ZW, Tu ZJ, et al., 2013. A carbon dioxide radiance model of the Earth planet using the conical Earth sensor data. Proc SPIE Remote Sensing, Article 888 91U.

[5]Falbel G, 2004. A low weight/power/cost infrared Earth sensor. Proc IEEE Aerospace Conf, p.2716-2722.

[6]Gontin R, Ward K, 1987. Horizon sensor accuracy improvement using Earth horizon profile phenomenology. Proc Guidance, Navigation and Control Conf, p.1495-1502.

[7]Gonzalez RC, Woods RE, Eddins SL, 2013. Digital Image Processing Using MATLAB. Prentice-Hall, Inc., Upper Saddle River, USA.

[8]Hoffman JW, 1976. Stability of the infrared Earth horizon at 15 microns. J Spacecr Rock, 13(10):626-628.

[9]Leavers VF, 1993. Which Hough transform? CVGIP Image Underst, 58(2):250-264.

[10]MAI-SES, 2016. Static Earth Sensor Product Specification. Maryland Aerospace Inc., Crofton, USA. https://www.cubesatshop.com/wp-content/uploads/2016/06/MAI-SES-Specifications-20150827.pdf [Accessed on July 20, 2019].

[11]Markley FL, Crassidis JL, 2014. Fundamentals of Spacecraft Attitude Determination and Control. Springer, New York, USA.

[12]Nguyen T, Cahoy K, Marinan A, 2018. Attitude determination for small satellites with infrared Earth horizon sensors. J Spacecr Rock, 55(6):1466-1475.

[13]Niu S, Bai J, Hou XY, et al., 2007. Design of a panoramic annular lens with a long focal length. Appl Opt, 46(32):7850-7857.

[14]Sharifi M, Fathy M, Mahmoudi MT, 2002. A classified and comparative study of edge detection algorithms. Proc Int Conf on Information Technology: Coding and Computing, p.117-120.

[15]Soto-Romero G, Bony F, Simonne JJ, et al., 2001. Micro infrared Earth sensor project: an integrated IR camera for Earth remote sensing. Int Symp on Remote Sensing, p.176-187.

[16]Swartwout M, 2013. The first one hundred CubeSats: a statistical look. J Small Satell, 2(2):213-233.

[17]Torii A, Imiya A, 2007. The randomized-Hough-transform-based method for great-circle detection on sphere. Patt Recogn Lett, 28(10):1186-1192.

[18]Zhang GJ, Wei XG, Fan QY, et al., 2009 Method and Device for Calibration of Digital Celestial Sensor. US Patent 7 822 572.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE