DocumentCode :
549095
Title :
Altitude estimation for 3-D tracking with two 2-D radars
Author :
Rakvongthai, Yothin ; Ru, Jifeng ; Sivananthan, Siva ; Oraintara, Soontorn
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX, USA
fYear :
2011
fDate :
5-8 July 2011
Firstpage :
1
Lastpage :
8
Abstract :
This paper first proposes a method to estimate the altitude of an aircraft using two 2-D radars for Air Traffic Control (ATC) applications. Assuming that the aircraft flies with a nearly constant velocity and nearly constant height, we first estimate its velocity, initial position in 3-D coordinates from the measurements of two 2-D radars using a maximum likelihood estimator. Next, we incorporate the estimates as initial values for 3-D flight tracking that uses an extended Kalman filter (EKF). Furthermore, a multiple model approach is adopted to further improve the tracking performance. The simulation results are shown to demonstrate the effectiveness of the proposed method.
Keywords :
Kalman filters; air traffic control; aircraft; height measurement; parameter estimation; radar tracking; 2D radars; 3D flight tracking; 3D tracking; air traffic control; aircraft; altitude estimation; extended Kalman filter; maximum likelihood estimator; position estimation; velocity estimation; Aircraft; Maximum likelihood estimation; Radar measurements; Radar tracking; Target tracking; 3-D target tracking; Altitude estimation; extended Kalman filtering; parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9
Type :
conf
Filename :
5977530
Link To Document :
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