TY - GEN
T1 - Navigation of Student Satellite in LEO with Minimal Sensors
AU - Memon, Zohaib Wahab
AU - Pirzada, Syed Jahanzeb Hussain
AU - Li, Fu
N1 - Publisher Copyright:
© 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - With the growing demand for student satellites in Lower Earth Orbit (LEO) for imaging applications. The constraints such as size, mass, development time, and budget limit the options of navigation equipment. A navigation system is proposed in this paper for attitude and orbit determination based on highly dynamic Global Positioning System (GPS) receiver and Fiber Optic Gyro (FOG). Extended Kalman Filter (EKF) is chosen to fuse the sensor measurements. The pre-processed and biased sensor data is simulated, and EKF is integrated to estimate the Position, Velocity, and Attitude while simultaneously estimating bias of Gyroscope. The performance of the system is evaluated by comparing the estimated and measured results with the truth data, which is biased with random noise to simulate the sensor measurements and provide the basis for gaussian white noise assumptions. This paper proposes an integrated and low-cost navigation system for future student satellites. The proposed GPS-FOG-EKF navigation system can be developed on commercially available and cheaper onboard computers such as 8051-microcontroller with a very short development time by taking advantage of the simple algebraic nature of EKF.
AB - With the growing demand for student satellites in Lower Earth Orbit (LEO) for imaging applications. The constraints such as size, mass, development time, and budget limit the options of navigation equipment. A navigation system is proposed in this paper for attitude and orbit determination based on highly dynamic Global Positioning System (GPS) receiver and Fiber Optic Gyro (FOG). Extended Kalman Filter (EKF) is chosen to fuse the sensor measurements. The pre-processed and biased sensor data is simulated, and EKF is integrated to estimate the Position, Velocity, and Attitude while simultaneously estimating bias of Gyroscope. The performance of the system is evaluated by comparing the estimated and measured results with the truth data, which is biased with random noise to simulate the sensor measurements and provide the basis for gaussian white noise assumptions. This paper proposes an integrated and low-cost navigation system for future student satellites. The proposed GPS-FOG-EKF navigation system can be developed on commercially available and cheaper onboard computers such as 8051-microcontroller with a very short development time by taking advantage of the simple algebraic nature of EKF.
KW - Extended kalman filter
KW - Fiber optic gyro
KW - Global positioning system
KW - Lower earth orbit
UR - https://www.scopus.com/pages/publications/85120626226
U2 - 10.1007/978-981-15-8155-7_446
DO - 10.1007/978-981-15-8155-7_446
M3 - 会议稿件
AN - SCOPUS:85120626226
SN - 9789811581540
T3 - Lecture Notes in Electrical Engineering
SP - 5409
EP - 5418
BT - Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Yu, Xiang
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2020
Y2 - 23 October 2020 through 25 October 2020
ER -