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北斗卫星系统频间偏差预报模型研究
引用本文:韩雪丽,党亚民,王虎,王健.北斗卫星系统频间偏差预报模型研究[J].地理信息世界,2017,24(5).
作者姓名:韩雪丽  党亚民  王虎  王健
作者单位:1. 山东科技大学 测绘科学与工程学院,山东 青岛 266510;中国测绘科学研究院,北京 100830;2. 中国测绘科学研究院,北京,100830
基金项目:国家自然科学基金项目,公益性行业专项,国家自然科学青年基金项目,中国博士后基金第59批面上项目
摘    要:为研究北斗卫星频间偏差参数(DCB)长期及短期变化特性,在某卫星DCB参数缺失时,对该卫星DCB参数进行短期及长期预报,以预报值代替真实值。本文利用中国测绘科学研究院i GMAS分析中心数据,采用二次多项式拟合法对北斗卫星DCB参数展开研究,通过构建电离层延迟模型求解北斗卫星DCB参数,统计了北斗卫星包括GEO卫星、IGSO卫星、MEO卫星的2016-01~2016-12及2017-02-01~2017-02-28的频间偏差参数解算结果,分析其变化特性,并采用二次多项式拟合法对DCB参数进行长短期预报及精度分析。实验证明,相比GEO、IGSO卫星、MEO卫星的DCB参数较低且波动幅度介于GEO、IGSO卫星之间;二次多项式拟合法可对北斗卫星的频间偏差参数进行预报,对北斗卫星的频间偏差求值及预报具有重要的参考作用。

关 键 词:北斗系统  电离层  球谐函数  频间偏差  预报

Study on the Prediction Model of Frequency Deviation of Beidou Satellite System
HAN Xueli,DANG yamin,WANG hu,WANG jian.Study on the Prediction Model of Frequency Deviation of Beidou Satellite System[J].Geomatics World,2017,24(5).
Authors:HAN Xueli  DANG yamin  WANG hu  WANG jian
Abstract:This paper studies the long-term and short-term variation characteristics of Beidou satellite frequency of deviation code bias (DCB), and proposes a method to estimate a value to take place the true valuewhen a satellite DCB is missing. Based on the data of iGMAS analysis center of China Academy of Surveying and Mapping, theDCB parameter of Beidou satellite system (BDS) is studied by using the two polynomial fitting method. TheDCB parameter of the BDS is solved by constructing the ionospheric delay model, and the data of the BDS including GEO, IGSO, MEO from 2016-01~2016-12, 2017-02-01~2017-02-28 and the variation characteristics are analyzed, the two parameters polynomial fitting method is used to predict and analyze theDCB parameters. Experimental results show that theDCB parameters of MEO satellite are lower compared with GEO, IGSO satellite, and the fluctuation range is between GEO and IGSO satellites. The two polynomial fitting method can be used to predict the frequency deviation parameters ofBDS, which has an important reference value for the evaluation and prediction of the frequency deviation ofBDS.
Keywords:BDS  ionosphere  spherical harmonic function  frequency deviation  prediction
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