TY - GEN
T1 - Conflict detection in terminal area based on modified unscented particle filter
AU - Hu, Laihong
AU - Sun, Fuchun
AU - Xu, Hualong
AU - Liu, Huaping
AU - Zhang, Shengheng
AU - Zhang, Xuejun
PY - 2010
Y1 - 2010
N2 - With increasing air traffic flow, the increasingly complex air traffic situation has raised possibility of conflicts, which requires higher timeliness and accuracy for conflict detection. Based on the rapidly growing air traffic control technologies, such as radars with excellent accuracy, a modified unscented particle filter (MUPF) algorithm is introduced to perform real-time aircraft status estimation. Compared to traditional unscented particle filter (UPF) algorithm, MUPF uses fewer particles and generates higher accuracy, resulting in considerable reduction in amount of computation. The simulation results show that MUPF has higher accuracy than UPF with the same number of particles, and in conflict detection, it also surpass UPF with lower rate of false alert, higher rate of success alert and smaller error.
AB - With increasing air traffic flow, the increasingly complex air traffic situation has raised possibility of conflicts, which requires higher timeliness and accuracy for conflict detection. Based on the rapidly growing air traffic control technologies, such as radars with excellent accuracy, a modified unscented particle filter (MUPF) algorithm is introduced to perform real-time aircraft status estimation. Compared to traditional unscented particle filter (UPF) algorithm, MUPF uses fewer particles and generates higher accuracy, resulting in considerable reduction in amount of computation. The simulation results show that MUPF has higher accuracy than UPF with the same number of particles, and in conflict detection, it also surpass UPF with lower rate of false alert, higher rate of success alert and smaller error.
KW - Air traffic control
KW - Conflict detection
KW - Modified unscented particle filter
KW - Terminal area
KW - The state estimates
UR - https://www.scopus.com/pages/publications/77958130532
U2 - 10.1109/WCICA.2010.5555166
DO - 10.1109/WCICA.2010.5555166
M3 - 会议稿件
AN - SCOPUS:77958130532
SN - 9781424467129
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 295
EP - 300
BT - 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
T2 - 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Y2 - 7 July 2010 through 9 July 2010
ER -