TY - GEN
T1 - Twistor-Based Relative Navigation of Satellite Rendezvous in Close Proximity Operations Using Unscented Kalman Filter
AU - Atallah, Mohammed
AU - Okasha, Mohamed
AU - Dief, Tarek N.
AU - Kamra, Mohamed
N1 - Publisher Copyright:
© 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2023
Y1 - 2023
N2 - This paper presents an innovative relative navigation system specifically designed for satellite rendezvous during proximity operations involving target and chaser satellites. The chaser satellite is responsible for tracking the target’s position and attitude, necessitating a navigation system that can accurately estimate the chaser’s relative position and attitude. Our research emphasizes the development of a relative navigation system for satellite relative motion by employing the twisor approach, a comprehensive mathematical model integrating both rotational and translational motion. We utilize the Additive Unscented Kalman Filter (AUKF) to estimate the chaser satellite’s states in the coupled model. The chaser satellite gathers data from various instruments, including a star tracker, accelerometer, gyro, Position Sensing Diode (PSD), and Light Detection and Ranging (LiDAR). The proposed system’s efficacy is validated through numerical simulations within the MATLAB environment and real-time experiments using thed SPACE processing unit.
AB - This paper presents an innovative relative navigation system specifically designed for satellite rendezvous during proximity operations involving target and chaser satellites. The chaser satellite is responsible for tracking the target’s position and attitude, necessitating a navigation system that can accurately estimate the chaser’s relative position and attitude. Our research emphasizes the development of a relative navigation system for satellite relative motion by employing the twisor approach, a comprehensive mathematical model integrating both rotational and translational motion. We utilize the Additive Unscented Kalman Filter (AUKF) to estimate the chaser satellite’s states in the coupled model. The chaser satellite gathers data from various instruments, including a star tracker, accelerometer, gyro, Position Sensing Diode (PSD), and Light Detection and Ranging (LiDAR). The proposed system’s efficacy is validated through numerical simulations within the MATLAB environment and real-time experiments using thed SPACE processing unit.
UR - https://www.scopus.com/pages/publications/85199872850
UR - https://www.scopus.com/pages/publications/85199872850#tab=citedBy
U2 - 10.2514/6.2023-4150
DO - 10.2514/6.2023-4150
M3 - Conference contribution
AN - SCOPUS:85199872850
SN - 9781624107047
T3 - AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023
BT - AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023
Y2 - 12 June 2023 through 16 June 2023
ER -