Title :
Application of UKF for passive tracking of maneuvering target based on bearings of two sonar sensors
Author :
Xu, Zhaopeng ; Han, Shuping
Author_Institution :
Navy Submarine Acad., Qingdao, China
Abstract :
Passive tracking of maneuvering target in water based on bearings of two sonar sensors is a nonlinear state estimating issue. In this paper, the algorithm of Unscented Kalman Filtering (UKF) is applied to the nonlinear filtering of tracking system, and then maneuvering target could be tracked effectively based on two sonar sensors combining with the algorithm of Interactive Multiple Models (IMM).
Keywords :
Kalman filters; sonar tracking; target tracking; interactive multiple models; sonar sensors; target maneuvering passive tracking; tracking system nonlinear filtering; unscented Kalman filtering; Filtering; Mathematical model; Sensor systems; Sonar applications; Target tracking; IMM; UKF; maneuvering target tracking; two sonar sensors;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100715
