Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2006.07d
- /
- Pages.1787-1788
- /
- 2006
Noisy Parameter Estimation of Noisy Passive Telemetry Sensor System using Unscented Kalman Filter
잡음환경에서 UKF를 이용한 원격센서시스템의 파라메타 추정
- Kim, Kyung-Yup (School of Electrical Engineering, Dong-A University) ;
- Yu, Dong-Gook (School of Electrical Engineering, Dong-A University) ;
- Choi, Woo-Jin (School of Electrical Engineering, Dong-A University) ;
- Lee, Kwan-Tae (School of Electrical Engineering, Dong-A University) ;
-
Lee, Joon-Tark
(School of Electrical Engineering, Dong-A University)
- Published : 2006.07.12
Abstract
In this paper, a noisy passive telemetry sensor system using Unscented Kalman Filter (UKF) is proposed. To overcome these trouble problems such as a power limitation and a estimation complexity that the general passive telemetry sensor system including IC chip has, the principle of inductive coupling was applied to the modelling of a passive telemetry sensor system (PTSS) and its noisy capacitive parameter was estimated by the UKF algorithm. Specialty, to show the effective tracking performance of the UKF, we compared with the tracking performance of Recursive Least Square Estimation (RLSE) using linearization
Keywords