An Autonomous Space Navigation System Using Image Sensors

Ju Hyeon Hong; Woosung Park; Chang Kyung Ryoo

doi:10.1007/s12555-020-0319-7

An Autonomous Space Navigation System Using Image Sensors

Ju Hyeon Hong, Woosung Park, Chang Kyung Ryoo

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Space navigation has been a research topic for decades, with autonomy within its remit being a challenging area. Conventional space navigation approaches are based on utilizing the signal from ground facilities on the earth or using navigation sensors with sophisticated methodologies. Hence, this paper proposes a simple space autonomous navigation system that utilizes the angle measurements obtained by three image sensors. A sensitivity analysis is performed to rigorously investigate the relationship between the sensors’ performance and navigation error. A nonlinear Kalman filter is designed to improve navigation performance due to sensor errors. The performance of the proposed system is verified via nonlinear numerical simulations and Monte-Carlo simulation with sensor errors.

Original language	English
Pages (from-to)	2122-2133
Number of pages	12
Journal	International Journal of Control, Automation and Systems
Volume	19
Issue number	6
DOIs	https://doi.org/10.1007/s12555-020-0319-7
State	Published - Jun 2021

Bibliographical note

Publisher Copyright:
© 2021, ICROS, KIEE and Springer.

Keywords

Celestial navigation
image based navigation
in-orbit positioning

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10.1007/s12555-020-0319-7

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abstract = "Space navigation has been a research topic for decades, with autonomy within its remit being a challenging area. Conventional space navigation approaches are based on utilizing the signal from ground facilities on the earth or using navigation sensors with sophisticated methodologies. Hence, this paper proposes a simple space autonomous navigation system that utilizes the angle measurements obtained by three image sensors. A sensitivity analysis is performed to rigorously investigate the relationship between the sensors{\textquoteright} performance and navigation error. A nonlinear Kalman filter is designed to improve navigation performance due to sensor errors. The performance of the proposed system is verified via nonlinear numerical simulations and Monte-Carlo simulation with sensor errors.",

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AU - Park, Woosung

AU - Ryoo, Chang Kyung

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AB - Space navigation has been a research topic for decades, with autonomy within its remit being a challenging area. Conventional space navigation approaches are based on utilizing the signal from ground facilities on the earth or using navigation sensors with sophisticated methodologies. Hence, this paper proposes a simple space autonomous navigation system that utilizes the angle measurements obtained by three image sensors. A sensitivity analysis is performed to rigorously investigate the relationship between the sensors’ performance and navigation error. A nonlinear Kalman filter is designed to improve navigation performance due to sensor errors. The performance of the proposed system is verified via nonlinear numerical simulations and Monte-Carlo simulation with sensor errors.

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KW - in-orbit positioning

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An Autonomous Space Navigation System Using Image Sensors

Abstract

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Keywords

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