TY - GEN
T1 - A PSO-based layout method for GNSS pseudolite system
AU - Wang, Jian
AU - Li, Hongxin
AU - Lu, Jinzhi
AU - Li, Kun
AU - Li, Huan
AU - Yang, Lian
AU - Li, Yubai
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/12/27
Y1 - 2017/12/27
N2 - In order to improve the user positioning accuracy in GNSS (Global Navigation Satellite System) pseudolite system, we propose a PSO (Particle Swarm Optimization)-based method to optimize the pseudolite layout in this paper. In detail, given the pseudolite layout information, we calculate the system GDOP (Geometric Dilution of Precision) and then minimize it by using a PSO-based algorithm with N particles. Here the first particle indicates the classical layout under the given scenario and the other particles separately represent N-1 randomly generated layouts. In each iteration of our PSO-based algorithm, these particles move to a direction to reduce the GDOP value. After several iterations, the GDOP value can be minimized and the optimal pseudolite layout is found out as well. To evaluate the merits of our method, we perform some experiments. The experimental results show that compared to the classical pseudolite layout, our method can reduce the GDOP by 13.4%. This, with no doubt, improves the user positioning accuracy. For example, when the pseudo-range error is about 1%, the user positioning accuracy in our optimized layout can be improved by 12.4% against the classical layout.
AB - In order to improve the user positioning accuracy in GNSS (Global Navigation Satellite System) pseudolite system, we propose a PSO (Particle Swarm Optimization)-based method to optimize the pseudolite layout in this paper. In detail, given the pseudolite layout information, we calculate the system GDOP (Geometric Dilution of Precision) and then minimize it by using a PSO-based algorithm with N particles. Here the first particle indicates the classical layout under the given scenario and the other particles separately represent N-1 randomly generated layouts. In each iteration of our PSO-based algorithm, these particles move to a direction to reduce the GDOP value. After several iterations, the GDOP value can be minimized and the optimal pseudolite layout is found out as well. To evaluate the merits of our method, we perform some experiments. The experimental results show that compared to the classical pseudolite layout, our method can reduce the GDOP by 13.4%. This, with no doubt, improves the user positioning accuracy. For example, when the pseudo-range error is about 1%, the user positioning accuracy in our optimized layout can be improved by 12.4% against the classical layout.
KW - GDOP
KW - Layout
KW - PSO algorithm
KW - Positioning
KW - Pseudolite
UR - https://www.scopus.com/pages/publications/85045504420
U2 - 10.1145/3176653.3176668
DO - 10.1145/3176653.3176668
M3 - 会议稿件
AN - SCOPUS:85045504420
T3 - ACM International Conference Proceeding Series
SP - 313
EP - 317
BT - Proceedings of the International Conference on Information Technology, ICIT 2017
PB - Association for Computing Machinery
T2 - 2017 International Conference on Information Technology, ICIT 2017
Y2 - 27 December 2017 through 29 December 2017
ER -