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Comparison of Two Fading Filters anc Adaptively Robust Filter
作者姓名:YANG  Yuanxi  GAO  Weiguang
作者单位:[1]Xi'an Research Institute of Surveying and Mapping, 1 Middle Yanta Road, Xi'an 710054, China. [2]不详, 1 Middle Yanta Road, Xi'an 710054, China.
基金项目:Supported by the National Natural Science Foundation of China (No.40174009, No.40274002).
摘    要:

关 键 词:Kalman滤波器  衰退滤波  自适应滤波  衰退因素
文章编号:1009-5020(2007)03-200-04
收稿时间:7 June 2007
修稿时间:2007-06-07

Comparison of two fading filters and adaptively robust filter
YANG Yuanxi GAO Weiguang.Comparison of Two Fading Filters anc Adaptively Robust Filter[J].Geo-Spatial Information Science,2007,10(3):200-203.
Authors:Yang Yuanxi  Gao Weiguang
Institution:(1) Xi’an Research Institute of Surveying and Mapping, 1 Middle Yanta Road, Xi’an, 710054, China
Abstract:Two kinds of fading filters and their principles are introduced. An adaptive robust filter is given with corresponding principle. The basic abilities of the fading filters and adaptively robust filter in controlling the influences of the kinematic model errors are analyzed. A practical example is given. The results of the fading filter and adaptively robust filter are compared and analyzed.
Keywords:Kalman filtering  fading filtering  adaptive filtering  fading factor
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