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基于小波降噪的Kalman滤波预报卫星钟差
引用本文:王继刚,胡永辉,何在民,侯娟. 基于小波降噪的Kalman滤波预报卫星钟差[J]. 测绘科学, 2012, 37(5): 9-11,60
作者姓名:王继刚  胡永辉  何在民  侯娟
作者单位:1. 淮海工学院测绘工程学院,江苏连云港,222005
2. 中国科学院国家授时中心,西安,710600
3. 中国科学院国家授时中心,西安710600;中国科学院研究生院,北京100049
摘    要:卫星钟差预报在实时高精度导航定位中具有重要作用,Kalman滤波模型是预报卫星钟差的重要方法之一。为了进一步提高Kalman滤波模型预报卫星钟差的精度,本文提出了基于小波降噪的Kalman滤波模型预报卫星钟差。该模型使用小波降噪后数据,在保留Kalman滤波模型特点的基础上,明显地提高了短期卫星钟差预报精度。

关 键 词:卫星钟差  预报  Kalman滤波  降噪  精度

Satellite clock prediction using wavelet de-noising Kalman filter
WANG Ji-gang , HU Yong-hui , HE Zai-min , HOU Juan. Satellite clock prediction using wavelet de-noising Kalman filter[J]. Science of Surveying and Mapping, 2012, 37(5): 9-11,60
Authors:WANG Ji-gang    HU Yong-hui    HE Zai-min    HOU Juan
Affiliation:②③(①Department of Geomatic Engineering,Huaihai Institute of Technology,Jiangsu Lianyungang 222005,China;②National Time Service Center,Chinese Academy of Sciences,Xi’an 710600,China;③Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:Satellite clock prediction plays an important role in the real-time high accuracy navigation and positioning,and Kalman Filter(KF) is one of the important models for the satellite clock prediction.In order to improve the prediction accuracy,Wavelet De-noising Kalman Filter(WDKF) was put forward in the paper.WDKF model used the data which are de-noised by wavelet.While the characteristics of KF remained in WDKF,which could obviously improve short-term prediction accuracy.
Keywords:satellite clock  prediction  Kalman filter  de-noise  accuracy
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