|Table of Contents|

Precise Point Positioning Based on Robust Kalman Filtering(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2010年第02期
Page:
218-220
Research Field:
地球信息科学
Publishing date:

Info

Title:
Precise Point Positioning Based on Robust Kalman Filtering
Author(s):
NIE Jian-liang1; 2;  ZHANG Shuang-cheng2;  XU Yong-sheng3;  ZHANG Yu-fang4;  WANG Yue-li4
(1.Geodetic Data Processing Center, State Bureau of Surveying and Mapping, Xi'an 710054, Shaanxi, China; 2.School ofGeological Engineering and Surveying, Chang'an University, Xi'an 710054, Shaanxi, China; 3.Institute of New Surveying Research, Chang'an University, Xi'an 710054, Shaanxi, China; 4. The First Institute of Photogrammetry and Remote Sensing, State Bureau of Surveying and Mapping, Xi'an 710054, Shaanxi, China)
Keywords:
precise point positioning;  Robust Kalman filtering;  equivalent weight
PACS:
P207+1
DOI:
-
Abstract:
If the outliers exist in the observations, the accuracy of Kalman filtering will be lower. Robust Kalman filtering, which can improve the precision and the reliability of Kalman filtering, is used to control the outliers. The data from the tracking station of International GPS service in Wuhan are computed to test the efficiency of Robust Kalman filtering. The results show that the precision of Robust Kalman filtering is better than Kalman filtering, and it can control efficiently outliers in the observations.

References:

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Last Update: 2010-06-20