| 开窗分类因子抗差自适应序贯平差用于卫星钟差参数估计与预报 |
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| 引用本文： | 黄观文,杨元喜,张勤.开窗分类因子抗差自适应序贯平差用于卫星钟差参数估计与预报[J].测绘学报,2011,40(1):15-21. |
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| 作者姓名： | 黄观文 杨元喜 张勤 |
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| 作者单位： | 1. 长安大学;2. Xian Research Institute of Surveying and Mapping;3. 北京海淀区北三环中路69号导航办;4. 长安大学地测学院; |
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| 基金项目： | 国家863计划(2007AA12Z331); 国家自然科学基金(40902081,40774001,40841021) |
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| 摘 要： | 提出一种新的钟差算法--开窗分类因子抗差自适应序贯平差,即首先对一维钟差数据进行开窗处理,在窗口内利用抗差等价权削弱粗差影响,在窗口间构造自适应因子抵制钟跳异常,从而达到消除和削弱观测异常和状态异常的目的.针对不同星钟参数不符值描述不同的扰动特性,提出构造分类自适应因子来抵制钟差时间序列中的扰动异常.计算结果表明,新算...
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| 关 键 词： | 开窗 分类因子 序贯平差 抗差自适应 卫星钟差 预报 |
| 收稿时间： | 2009-10-20 |
| 修稿时间： | 2010-05-11 |
Estimate and Predict Satellite Clock Error Using Adaptively Robust Sequential Adjustment with Classified Adaptive Factors Based on Opening Windows |
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| HUANG Guanwen,YANG Yuanxi,ZHANG Qin.Estimate and Predict Satellite Clock Error Using Adaptively Robust Sequential Adjustment with Classified Adaptive Factors Based on Opening Windows[J].Acta Geodaetica et Cartographica Sinica,2011,40(1):15-21. |
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| Authors: | HUANG Guanwen YANG Yuanxi ZHANG Qin |
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| Institution: | HUANG Guanwen1,YANG Yuanxi2,ZHANG Qin11.College of Geology Engineering and Geomatics,Chang'an University,Xi'an 710054,China,2.China National Administration of GNSS and Applications,Beijing 100088 |
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| Abstract: | Classical least-square clock model has been applied extensively in the area of navigation and positioning. However, it cannot reach a better result caused by some blunders and clock jumps. Actually, blunders and clock jumps have occurred so much that cannot be ignored in clock error series. General pre-processing methods, as transfer between phase and frequency, plot show, blunder detection and et al, cannot be satisfied with real-time clock error predicting. So, a new clock error method is proposed based on adaptively robust sequential adjustment with classified adaptive factors and open windows. Main ideas as follows: firstly, clock error series is opened windows with a better size; secondly, blunders in every window are processed using robust estimation; thirdly, clock jumps are eliminated by adaptive least-square between different windows. In a word, Observation anomaly and state anomaly can be impaired availably by above-mentioned steps. In addition, because different clock parameters depict different clock characteristic, classified adaptive factors are proposed to reject outlier in the clock data. Analysis results indicate: comparing with adaptively sequential adjustment, new method’s precision improved 78.9% and 60.4% in the fact of estimate and predict satellite clock error. Also, new method’s estimate and predict precision, because of classified adaptive factors, improved about 4.3% and 29.2% comparing with adaptively robust sequential adjustment. Furthermore, new method is usually fit for other clock models as AR model, Grey model and et al. |
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| Keywords: | open windows classified factors sequential adjustment adaptively robust satellite clock error predict |
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