江汉大学学报(自然科学版) ›› 2012, Vol. 40 ›› Issue (3): 45-49.

• 物理 • 上一篇    下一篇

模式搜索开窗拟合系统误差的滤波方法研究

刘庆元,邹程昊   

  1. 中南大学地球科学与信息物理学院,湖南长沙410083
  • 收稿日期:2012-03-14 出版日期:2012-06-20 发布日期:2013-11-07
  • 作者简介:刘庆元(1958—),男,教授,研究方向:GPS数据处理、网络GIS

Researching on Pattern-search Moving Windows Method of Fitting Systematical Errors

LIU Qing-yuan,ZOU Cheng-hao   

  1. School of Geosciences and Info-Physics,Central South University,Changsha 410083,Hunan,China
  • Received:2012-03-14 Online:2012-06-20 Published:2013-11-07

摘要: 为消除导航数据中的系统误差,提高定位精度,在开窗拟合系统误差的卡尔曼滤波基础上,研讨窗口长度的确定方法和过程。引入最优化思想,通过模式搜索的方法完善了窗口长度确定环节,使之更适于编程。模式搜索开窗拟合系统误差的滤波方法在过滤系统误差时有更广的适用性。

关键词: 滤波, 拟合, 编程, 搜索, 系统误差

Abstract: The paper discusses the way of improving positioning accuracy by eliminating the systematic errors in the navigation data. Based on the Kalman filter of window fitting systematic errors, the method and process for determining the window length are discussed. The optimized idea was introduced, which was made to be more suitable for coding by the pattern-search methods for determining window length. The Pattern-search moving windows method has wider applicability in fitting systematical errors.

Key words: filtering, fitting, coding, searching, systematic error

中图分类号: