Title :
A New Algorithm for Multi-Sensors Registration and Target Tracking
Author_Institution :
Chongqing Three Gorges Univ., Chongqing, China
fDate :
March 31 2009-April 2 2009
Abstract :
A registration and target tracking algorithm with unscented Kalman filter(UKF) based on earth-centered earth-fixed coordinate system is presented. This algorithm not only considers the geometry of the global, but can register sensors while tracking. the UKF method is used to estimate both the registration errors and system states simultaneously , which has supplied a new method for solving the registration and tracking between the long distance sensors, Monte-Carlo simulation results show that the approach is useful and robust. will play an important role in engineering applications.
Keywords :
Kalman filters; Monte Carlo methods; matrix algebra; sensor fusion; target tracking; Monte-Carlo simulation; earth-centered earth-fixed coordinate system; multisensors registration; register sensor; target tracking algorithm; unscented Kalman filter; Computer science; Earth; Equations; Information filtering; Kalman filters; Least squares methods; Sensor systems; Sensor systems and applications; State estimation; Target tracking; ECEF; Registration; Target tracking; UKF; multi-sensors;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.186