Model-based trajectory reconstruction with IMM smoothing and segmentation

被引：13
作者：
Garcia, Jesus [1 ]
Besada, Juan A. [2 ]
Molina, Jose M. [1 ]
de Miguel, Gonzalo [2 ]
机构：
[1] Univ Carlos III Madrid, Dept Comp Sci, GIAA, E-28903 Getafe, Spain
[2] Univ Politecn Madrid, Signal Syst & Radiocommun Dept, GPDS, E-28040 Madrid, Spain
来源：
INFORMATION FUSION | 2015年 / 22卷
关键词：
Trajectory reconstruction; IMM data smoothing; ATC evaluation tools; MoF segmentation; BLACKWELLIZED PARTICLE FILTER; TRACKING; ALGORITHM; SYSTEMS;
D O I：
10.1016/j.inffus.2014.06.004
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new approach for off-line trajectory reconstruction in air traffic control domain. The proposed algorithm, called model-based reconstruction, performs an accurate IMM smoothing process whose parameters are modified along time according to the flight modes segmented from trajectory measurements. Its competitive performance is demonstrated through comparison with previous reconstruction methods used in ATC and with classical IMM smoothing, using simulated data. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：127 / 140
页数：14
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