DocumentCode
40388
Title
Multi-Sensor Fusion and Fault Detection using Hybrid Estimation for Air Traffic Surveillance
Author
Weiyi Liu ; Jian Wei ; Mengchen Liang ; Yi Cao ; Inseok Hwang
Author_Institution
Qualcomm, Inc., Santa Clara, CA, USA
Volume
49
Issue
4
fYear
2013
fDate
Oct-13
Firstpage
2323
Lastpage
2339
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.
Keywords
air traffic control; fault diagnosis; sensor fusion; surveillance; air traffic control; air traffic surveillance; changing flight modes; fault detection; hybrid estimation algorithm; hybrid estimation algorithms; multiple surveillance sensors; multisensor fusion; sensor faults; software redundancy; target tracking accuracy; tracking aircraft; Aircraft; Aircraft navigation; Atmospheric modeling; Estimation; Sensor fusion; Trajectory;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.2013.6621819
Filename
6621819
Link To Document