TY - GEN
T1 - Approach for GNSS constellation based on artificial bee colony algorithm
AU - Zhang, Lei
AU - Jamshidi, Faezeh
AU - Nezhadalinaei, Fahimeh
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12
Y1 - 2018/12
N2 - Simultaneous satellite selection is a major challenge of multi-constellation satellite navigation systems today, since real-time positioning using all the visible satellites results in extremely high computation load. Therefore, quick and efficient satellite selection methods are highly demanded in the field of navigation. In this paper, for the first time, artificial bee colony (ABC) algorithm is adopted to select visible satellites for positioning in multi-constellation satellite navigation system with minimum geometric dilution of precision (GDOP) value achieved. The proposed approach is evaluated by simulation and the results show that the ABC approach has better performance in convergence and speed compared to that of the conventional particle swarm optimization (PSO) approach.
AB - Simultaneous satellite selection is a major challenge of multi-constellation satellite navigation systems today, since real-time positioning using all the visible satellites results in extremely high computation load. Therefore, quick and efficient satellite selection methods are highly demanded in the field of navigation. In this paper, for the first time, artificial bee colony (ABC) algorithm is adopted to select visible satellites for positioning in multi-constellation satellite navigation system with minimum geometric dilution of precision (GDOP) value achieved. The proposed approach is evaluated by simulation and the results show that the ABC approach has better performance in convergence and speed compared to that of the conventional particle swarm optimization (PSO) approach.
KW - Artificial Bee Colony
KW - Geometric Dilution of Precision (GDOP)
KW - Global Navigation Satellite System (GNSS)
KW - Multi-Constellation Satellite Navigation Systems
KW - Satellite Selection
UR - https://www.scopus.com/pages/publications/85068421599
U2 - 10.1109/ITOEC.2018.8740665
DO - 10.1109/ITOEC.2018.8740665
M3 - 会议稿件
AN - SCOPUS:85068421599
T3 - Proceedings of 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference, ITOEC 2018
SP - 1562
EP - 1566
BT - Proceedings of 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference, ITOEC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2018
Y2 - 14 December 2018 through 16 December 2018
ER -