Performance Comparison of EKF/UKF/CKF for the Tracking of Ballistic Target

Autor:	Wu Guang-bin, Dai Hongde, Dai Shaowu, Cong Yuan-cai
Rok vydání:	2012
Předmět:	Nonlinear system Extended Kalman filter Engineering Position (vector) business.industry Control theory Computation Unscented transform Kalman filter business Ballistic coefficient Invariant extended Kalman filter
Zdroj:	TELKOMNIKA Indonesian Journal of Electrical Engineering. 10
ISSN:	2087-278X 2302-4046
DOI:	10.11591/telkomnika.v10i7.1564
Popis:	This paper considers three well know nonlinear Kalman Filters for the tracking of a ballistic target. Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and the Cubature Kalman Filter (CKF) are applied for estimating the position, velocity and the ballistic coefficient of the ballistic target. The theory formulation and computer simulation has been done for the comparison of the three nonlinear Kalman Filters. Results show that all of them can accomplish the estimation task, but the UKF and CKF both have higher accuracy and less computation cost than the EKF. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1564
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a92eb851d57bccad62fe03652e24120d https://doi.org/10.11591/telkomnika.v10i7.1564 Zobrazit plný text záznamu