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基于抗差Kalman滤波的精密单点定位
引用本文:聂建亮1,2,张双成2,徐永胜3,张玉芳4,王月莉4. 基于抗差Kalman滤波的精密单点定位[J]. 延边大学学报(自然科学版), 2010, 0(2): 218-220
作者姓名:聂建亮1  2  张双成2  徐永胜3  张玉芳4  王月莉4
作者单位:(1.国家测绘局 大地测量数据处理中心,陕西 西安 710054; 2.长安大学 地质工程与测绘学院,陕西 西安 710054; 3.长安大学 测绘新技术研究院,陕西 西安 710054; 4.国家测绘局 第一航测遥感院,陕西 西安 710054)
摘    要:当精密单点定位的观测值含有异常数据时,Kalman滤波的精度将会降低。采用抗差Kalman滤波方法能够有效抑制观测异常,提高滤波的精度和可靠性。运用武汉国际GPS服务跟踪站数据对该方法进行了验证。结果表明,抗差Kalman滤波的精度比Kalman滤波的精度有一定程度提高,说明抗差Kalman滤波能够有效抑制观测异常。

关 键 词:精密单点定位  抗差Kalman滤波  等价权

Precise Point Positioning Based on Robust Kalman Filtering
NIE Jian-liang1,' target="_blank" rel="external">2,ZHANG Shuang-cheng2,XU Yong-sheng3,ZHANG Yu-fang4,WANG Yue-li4. Precise Point Positioning Based on Robust Kalman Filtering[J]. Journal of Yanbian University (Natural Science), 2010, 0(2): 218-220
Authors:NIE Jian-liang1,' target="  _blank"   rel="  external"  >2,ZHANG Shuang-cheng2,XU Yong-sheng3,ZHANG Yu-fang4,WANG Yue-li4
Affiliation:(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)
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.
Keywords:precise point positioning  Robust Kalman filtering  equivalent weight
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