DocumentCode :
2809956
Title :
IMM - Unscented Kalman Filter based tracking of maneuvering targets using active sonar measurements
Author :
Sunanda Babu, V. ; Ravi Shankar, M. ; Majumdar, Sourav ; Rao, Koteswara S.
Author_Institution :
NSTL, Visakhapatnam, India
fYear :
2011
fDate :
10-12 Feb. 2011
Firstpage :
126
Lastpage :
130
Abstract :
In underwater scenario, algorithms that assume constant velocity model are suitable for tracking non maneuvering targets but fail if target is maneuvering. The Interacting Multiple Model algorithm is a widely accepted state estimation scheme for solving maneuvering target tracking problems. This paper presents the IMM method of tracking under water maneuvering targets using active sonar measurements. UKF is used throughout the process and the simulation results for two scenarios are presented.
Keywords :
Kalman filters; sonar tracking; state estimation; target tracking; underwater sound; IMM method; active sonar measurements; interacting multiple model algorithm; maneuvering target tracking; state estimation scheme; underwater maneuvering targets; unscented Kalman filter; Delay; Probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2011 International Conference on
Conference_Location :
Calicut
Print_ISBN :
978-1-4244-9798-0
Type :
conf
DOI :
10.1109/ICCSP.2011.5739284
Filename :
5739284
Link To Document :
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