Proceedings of the Korean Society of Marine Engineers Conference (한국마린엔지니어링학회:학술대회논문집)
- 2005.11a
- /
- Pages.45-46
- /
- 2005
An Unscented Kalman Filter for Noisy Parameter Estimation of Passive Telemetry Sensor System
- Kim, Kyung-Yup (School of Electrical Engineering Dong-A University) ;
- Jeong, Jong-Won (School of Electrical Engineering Dong-A University) ;
- Ok, Soo-Yol (Department of Game Engineering TongMyung University) ;
-
Lee, Joon-Tark
(School of Electrical Engineering Dong-A University)
- Published : 2005.11.01
Abstract
In this paper, a passive telemetry sensor system using Unscented Kalman Filter(UKF) is proposed. Specially, to show the effective tracking performance of the UKF, we compared with the tracking performance of Recursive Least Square Estimation (RLSE) using linearization.
Keywords
- unscented Kalman filter;
- recursive least square estimation;
- passive telemetry sensor system;
- linearization