Active pixel digital sun sensor for satellites

Muhammad Awais Arshad; Ali Nasir; Muhammad Majid Gulzar; Mansoor Fayyaz; Jawad Khalid Qureshi; Amer Saeed

doi:10.1109/ICEE.2018.8566743

Active pixel digital sun sensor for satellites

Muhammad Awais Arshad, Ali Nasir, Muhammad Majid Gulzar, Mansoor Fayyaz, Jawad Khalid Qureshi, Amer Saeed

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Satellites use sun sensors as a reliable source of attitude determination during sunlit conditions while in orbit around the earth. This work elucidates the design and development of high precision and wide field of view digital sun sensor for space applications. Sun sensor employs active pixel image sensor along with processing techniques of feature extraction and image correlation. Software algorithm exploits the distinctive features of Active Pixel imaging Sensor (APS), in comparison to CCD based image sensor, for computationally efficient algorithm design. Sunlight falling on the sun sensor produces an image of the sun on image sensor. Software algorithm processes this image for noise removal, feature extraction, centroid analysis and sun vector calculations. Digital sun sensor, presented here, achieves 0.018 pixels (3σ) centroid accuracy with 120°×120°field of view.

Original language	English
Title of host publication	2018 International Conference on Electrical Engineering, ICEE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538609224
DOIs	https://doi.org/10.1109/ICEE.2018.8566743
State	Published - 6 Dec 2018
Externally published	Yes

Publication series

Name	2018 International Conference on Electrical Engineering, ICEE 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Active Pixel imaging Sensor
Feature Extraction
Image Correlation
Image Processing
Sun Sensor

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/ICEE.2018.8566743

Cite this

Arshad, M. A., Nasir, A., Gulzar, M. M., Fayyaz, M., Qureshi, J. K., & Saeed, A. (2018). Active pixel digital sun sensor for satellites. In 2018 International Conference on Electrical Engineering, ICEE 2018 Article 8566743 (2018 International Conference on Electrical Engineering, ICEE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEE.2018.8566743

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title = "Active pixel digital sun sensor for satellites",

abstract = "Satellites use sun sensors as a reliable source of attitude determination during sunlit conditions while in orbit around the earth. This work elucidates the design and development of high precision and wide field of view digital sun sensor for space applications. Sun sensor employs active pixel image sensor along with processing techniques of feature extraction and image correlation. Software algorithm exploits the distinctive features of Active Pixel imaging Sensor (APS), in comparison to CCD based image sensor, for computationally efficient algorithm design. Sunlight falling on the sun sensor produces an image of the sun on image sensor. Software algorithm processes this image for noise removal, feature extraction, centroid analysis and sun vector calculations. Digital sun sensor, presented here, achieves 0.018 pixels (3σ) centroid accuracy with 120°×120°field of view.",

keywords = "Active Pixel imaging Sensor, Feature Extraction, Image Correlation, Image Processing, Sun Sensor",

author = "Arshad, \{Muhammad Awais\} and Ali Nasir and Gulzar, \{Muhammad Majid\} and Mansoor Fayyaz and Qureshi, \{Jawad Khalid\} and Amer Saeed",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.",

year = "2018",

month = dec,

day = "6",

doi = "10.1109/ICEE.2018.8566743",

language = "English",

series = "2018 International Conference on Electrical Engineering, ICEE 2018",

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Active pixel digital sun sensor for satellites. / Arshad, Muhammad Awais; Nasir, Ali ; Gulzar, Muhammad Majid et al.
2018 International Conference on Electrical Engineering, ICEE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8566743 (2018 International Conference on Electrical Engineering, ICEE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Active pixel digital sun sensor for satellites

AU - Arshad, Muhammad Awais

AU - Nasir, Ali

AU - Gulzar, Muhammad Majid

AU - Fayyaz, Mansoor

AU - Qureshi, Jawad Khalid

AU - Saeed, Amer

PY - 2018/12/6

Y1 - 2018/12/6

N2 - Satellites use sun sensors as a reliable source of attitude determination during sunlit conditions while in orbit around the earth. This work elucidates the design and development of high precision and wide field of view digital sun sensor for space applications. Sun sensor employs active pixel image sensor along with processing techniques of feature extraction and image correlation. Software algorithm exploits the distinctive features of Active Pixel imaging Sensor (APS), in comparison to CCD based image sensor, for computationally efficient algorithm design. Sunlight falling on the sun sensor produces an image of the sun on image sensor. Software algorithm processes this image for noise removal, feature extraction, centroid analysis and sun vector calculations. Digital sun sensor, presented here, achieves 0.018 pixels (3σ) centroid accuracy with 120°×120°field of view.

AB - Satellites use sun sensors as a reliable source of attitude determination during sunlit conditions while in orbit around the earth. This work elucidates the design and development of high precision and wide field of view digital sun sensor for space applications. Sun sensor employs active pixel image sensor along with processing techniques of feature extraction and image correlation. Software algorithm exploits the distinctive features of Active Pixel imaging Sensor (APS), in comparison to CCD based image sensor, for computationally efficient algorithm design. Sunlight falling on the sun sensor produces an image of the sun on image sensor. Software algorithm processes this image for noise removal, feature extraction, centroid analysis and sun vector calculations. Digital sun sensor, presented here, achieves 0.018 pixels (3σ) centroid accuracy with 120°×120°field of view.

KW - Active Pixel imaging Sensor

KW - Feature Extraction

KW - Image Correlation

KW - Image Processing

KW - Sun Sensor

UR - https://www.scopus.com/pages/publications/85060514734

U2 - 10.1109/ICEE.2018.8566743

DO - 10.1109/ICEE.2018.8566743

M3 - Conference contribution

AN - SCOPUS:85060514734

T3 - 2018 International Conference on Electrical Engineering, ICEE 2018

BT - 2018 International Conference on Electrical Engineering, ICEE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Active pixel digital sun sensor for satellites

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this