Title :
Comparison of extended and unscented Kalman smoother in deriving kinematic characteristics of a high maneuver flying target
Author :
Rahnama, Samira ; Arvan, Mohammad Reza
Author_Institution :
Dept. of Electr. & Electron. Eng., Malek-Ashtar Univ. of Technol., Tehran, Iran
Abstract :
This paper addresses the application of the non real-time estimators, extended Kalman smoother and the two recently developed unscented Kalman smoother algorithms in deriving kinematic characteristics of a high maneuver flying target which is tracked with two passive sensors. Also the performance of these algorithms is compared over Monte Carlo simulations.
Keywords :
Kalman filters; Monte Carlo methods; smoothing methods; target tracking; Monte Carlo simulations; extended Kalman smoother; high maneuver flying target; kinematic characteristics; non real time estimator; unscented Kalman smoother algorithm; Acceleration; Equations; Filtering algorithms; Information filters; Kalman filters; Mathematical model; Target tracking;
Conference_Titel :
Modelling, Identification and Control (ICMIC), Proceedings of 2011 International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/ICMIC.2011.5973762