Journal of System Simulation
Abstract
Abstract: Due to the bad real-time performance of variable dimension Kalman filter in dealing with the leakage of ADS-B real-time monitoring, a position/speed hybrid filter method is proposed. The variable dimension Kalman filter is improved based on the characteristic that the position message and the velocity message of ADS-B message are sent at different time. Two measurement equations for position and speed are designed, and different measurement equation is selected according to message category. The speed/position and navigation accuracy category in message is utilized to estimate the position/speed of present moment, so as to effectively solve the problem of data dropouts. Experimental results show that compared with the variable dimension Kalman filter, the track time interval processed by the proposed methodis closer to the information transmission cycle of one second and has less impact on the delay.
Recommended Citation
Shen, Xiaoyun; Shen, Jinxing; Zhang, Siyuan; and Jiao, Weidong
(2019)
"Dropouts Processing in ADS-B Real-time Monitoring Based on Hybrid Filtering,"
Journal of System Simulation: Vol. 30:
Iss.
9, Article 29.
DOI: 10.16182/j.issn1004731x.joss.201809029
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss9/29
First Page
3457
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201809029
Last Page
3463
CLC
TP391.9
Recommended Citation
Shen Xiaoyun, Shen Jinxing, Zhang Siyuan, Jiao Weidong. Dropouts Processing in ADS-B Real-time Monitoring Based on Hybrid Filtering[J]. Journal of System Simulation, 2018, 30(9): 3457-3463.
DOI
10.16182/j.issn1004731x.joss.201809029
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