GPS Satellite Orbit Prediction Based on Unscented Kalman Filter

• 발행기관: 한국항해항만학회
• 저자명: Zuoya ZHENG Yongqi CHEN LU Xiushan DU Zhixing
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2006년도 International Symposium on GPS/GNSS Vol.1, 1~6쪽, 전체 6쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2006.10.24

영문 초록

In GPS Positioning, the error of satellite orbit will affect user’s position accuracy directly, it is important to determine the satellite orbit precise. The real-time orbit is needed in kinematic GPS positioning, the precise GPS orbit from IGS would be delayed long time, so orbit prediction is key to real-time kinematic positioning. We analyze the GPS predicted ephemeris, on the base of comparison of EKF and UKF, a new orbit prediction method is put forward based on UKF in this paper, the result shows that UKF improves the orbit predicted precision and stability. It offers a new method for others satellites orbit determination as Galileo, and so on.

목차

1. Introduction

2. Dynamic model

3. General Law of UKF method.

4. GPS orbit prediction based on UKF

5. Result analysis

키워드

Unscented Kalman Filter Extended Kalman Filter GPS Satellite Orbit Prediction Orbital Integrator Dynamic Model State Transition Matrix