IEEE Transactions on Aerospace and Electronic Systems, volume 49, issue 4, pages 2323-2339
Multi-Sensor Fusion and Fault Detection using Hybrid Estimation for Air Traffic Surveillance
1
Qualcomm, Inc., Santa Clara, CA, USA
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3
GE Aviation Systems, Inc., Grand Rapids, MI, USA
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Publication type: Journal Article
Publication date: 2013-10-12
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 4.4
ISSN: 00189251, 15579603
Electrical and Electronic Engineering
Aerospace Engineering
Abstract
Data fusion for multiple surveillance sensors in air traffic control (ATC) is studied. The goal is to build up software redundancy for better target tracking accuracy and robustness against sensor faults. A set of hybrid estimation algorithms for different sensors is designed to run in parallel for tracking aircraft with changing flight modes. The proposed sensor fusion algorithm combines the estimates from each hybrid estimation algorithm and identifies potential sensor faults.
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Citations by publishers
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- We do not take into account publications without a DOI.
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Liu W. et al. Multi-Sensor Fusion and Fault Detection using Hybrid Estimation for Air Traffic Surveillance // IEEE Transactions on Aerospace and Electronic Systems. 2013. Vol. 49. No. 4. pp. 2323-2339.
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Liu W., Wei J., Liang M., Cao Y., Hwang I. Multi-Sensor Fusion and Fault Detection using Hybrid Estimation for Air Traffic Surveillance // IEEE Transactions on Aerospace and Electronic Systems. 2013. Vol. 49. No. 4. pp. 2323-2339.
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TY - JOUR
DO - 10.1109/taes.2013.6621819
UR - https://doi.org/10.1109/taes.2013.6621819
TI - Multi-Sensor Fusion and Fault Detection using Hybrid Estimation for Air Traffic Surveillance
T2 - IEEE Transactions on Aerospace and Electronic Systems
AU - Liu, Weiyi
AU - Wei, Jian
AU - Liang, Mengchen
AU - Cao, Yi
AU - Hwang, Inseok
PY - 2013
DA - 2013/10/12 00:00:00
PB - IEEE
SP - 2323-2339
IS - 4
VL - 49
SN - 0018-9251
SN - 1557-9603
ER -
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@article{2013_Liu,
author = {Weiyi Liu and Jian Wei and Mengchen Liang and Yi Cao and Inseok Hwang},
title = {Multi-Sensor Fusion and Fault Detection using Hybrid Estimation for Air Traffic Surveillance},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
year = {2013},
volume = {49},
publisher = {IEEE},
month = {oct},
url = {https://doi.org/10.1109/taes.2013.6621819},
number = {4},
pages = {2323--2339},
doi = {10.1109/taes.2013.6621819}
}
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Liu, Weiyi, et al. “Multi-Sensor Fusion and Fault Detection using Hybrid Estimation for Air Traffic Surveillance.” IEEE Transactions on Aerospace and Electronic Systems, vol. 49, no. 4, Oct. 2013, pp. 2323-2339. https://doi.org/10.1109/taes.2013.6621819.