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Nonlinear target identification and tracking using UKF

DSpace at IIT Bombay

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Title Nonlinear target identification and tracking using UKF
 
Creator KHAIRNAR, DG
NANDAKUMAR, S
MERCHANT, SN
DESAI, UB
 
Subject kalman filters
ballistics
inference mechanisms
military computing
military radar
nonlinear filters
radar tracking
target tracking
 
Description In this paper, we implemented target identification algorithm using Dempster Shafer theory (DST) and tracking algorithm using extended Kalman filter (EKF) and unscented Kalman filter (UKF). A tracking filter is developed and simulated based on UKF to track nonlinear, ballistic and reentry targets. Comparison of EKF and UKF for nonlinear targets tracking are presented based on the simulation results. Simulated results gives more supporting points to use UKF for nonlinear target tracking rather using EKF.
 
Publisher IEEE
 
Date 2008-12-17T08:02:58Z
2011-11-27T16:14:22Z
2011-12-15T09:58:25Z
2008-12-17T08:02:58Z
2011-11-27T16:14:22Z
2011-12-15T09:58:25Z
2007
 
Type Article
 
Identifier Proceedings of the IEEE International Conference on Granular Computing, Fremont, USA, 2-4 November 2007, 761-764.
978-0-7695-3032-1
10.1109/GrC.2007.97
http://hdl.handle.net/10054/370
http://dspace.library.iitb.ac.in/xmlui/handle/10054/370
 
Language en