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.

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