| BDS卫星差分码偏差稳定性分析及其短期预报 |
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| 引用本文： | 梅登奎,闻德保.BDS卫星差分码偏差稳定性分析及其短期预报[J].大地测量与地球动力学,2020,40(7):746-750. |
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| 作者姓名： | 梅登奎 闻德保 |
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| 作者单位： | 长沙理工大学交通运输工程学院;广州大学地理科学学院 |
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| 基金项目： | 国家自然科学基金(41674040)。 |
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| 摘 要： | 利用MGEX(multi-GNSS experiment)发布的BDS卫星差分码偏差(differential code bias,DCB)产品,比较分析不同太阳活动水平下BDS卫星DCB产品的稳定性变化特性,并采用差分自回归移动平均(auto-regressive integrated moving average,ARIMA)时间序列预测模型,实现不同太阳活动水平下BDS卫星DCB的短期预报。结果表明,在太阳活动高年,BDS卫星DCB日解值稳定度、月稳定性均明显低于太阳活动低年,且不同卫星星座类型的BDS卫星DCB稳定性也存在差异;ARIMA时间序列预报结果与MGEX发布值符合程度较好,优于多项式拟合法预测结果。
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| 关 键 词： | 差分码偏差 太阳活动 稳定性 ARIMA 全球电离层模型 |
Stability Analysis and Short-Term Predictions of BDS Differential Code Bias |
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| MEI Dengkui,WEN Debao.Stability Analysis and Short-Term Predictions of BDS Differential Code Bias[J].Journal of Geodesy and Geodynamics,2020,40(7):746-750. |
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| Authors: | MEI Dengkui WEN Debao |
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| Institution: | (School of Traffic and Transportation Engineering,Changsha University of Science and Technology,960 Second Section of South-Wanjiali Road,Changsha 410114,China;School of Geographical Sciences,Guangzhou University,230 West-Waihuan Road,Guangzhou University Town,Guangzhou 510006,China) |
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| Abstract: | Abstract: Using the BDS differential code bias (DCB) products released by MGEX (multi-GNSS experiment), the variation characteristics of the monthly stability of BDS satellite DCB during high and low solar activity periods are compared and analyzed. The auto-regressive integrated moving average (ARIMA) model is utilized to predict the short-term BDS satellite DCB at different solar activity levels. The results show that during the high solar activity periods, the standard deviations of the daily solutions and the monthly stability of the BDS satellite DCB are significantly worse than those during the low solar activity periods, and the stability of the BDS satellite DCB varies with the BDS satellite constellation types. The time series prediction results of ARIMA are in good agreement with the MGEX-released DCB values, which is better than polynomial fitting method. |
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| Keywords: | differential code bias solar activity stability ARIMA global ionospheric model |
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