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