NDLI: The restraining outlier method of flight paths tracking based on ADS-B system

Content Provider	IEEE Xplore Digital Library
Author	Pu Hongping Sun Yongkui Li Ping Qin Kaiyu
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China (Sun Yongkui) \|\| Sch. of Aeronaut. & Astronaut., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Pu Hongping; Li Ping; Qin Kaiyu)
Abstract	Considering the problem that measurement outliers exist in ADS-B monitoring system and seriously affect the stability and accuracy of the Kalman filter, an improved “current” statistical model Kalman filtering algorithm has been proposed in this paper. The algorithm can dynamically adjust the acceleration variance and the maneuvering frequency, automatically identify and eliminate outliers, through a combination of CA model, so as to realize the track forward and reverse extrapolation and smoothing data loss. Simulation results show that the algorithm can not only effectively eliminate outliers and reduce the adverse impact on the filtering accuracy, but also has high tracking accuracy in the weak or the high maneuvering situation.
Starting Page	827
Ending Page	830
File Size	293511
Page Count	4
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896734
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Outliers ADS-B Accuracy Current statistical model Heuristic algorithms Educational institutions Flight paths tracking Kalman filtering Electronic mail Kalman filters Sun
Content Type	Text
Resource Type	Article

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