| 多因子自适应序贯平差 |
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| 引用本文： | 张丽萍.多因子自适应序贯平差[J].测绘科学,2008,33(1):71-73. |
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| 作者姓名： | 张丽萍 |
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| 作者单位： | 西安测绘信息技术总站,西安,710054;解放军信息工程大学,测绘学院,郑州,450052 |
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| 摘 要： | 针对参数先验信息含有异常的问题,基于自适应滤波原理和双因子等价权原理,在单因子自适应序贯平差的基础上,提出了多因子自适应序贯平差,推导了相应的多因子自适应序贯平差公式。基于各点和各个参数不符值构造出了点自适应因子和坐标分量自适应因子,最后利用GPS网数据进行了计算与分析,结果表明,在先验信息异常量级不同的情况下,多因子自适应序贯平差结果优于单因子自适应序贯平差结果。
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| 关 键 词： | 序贯平差 自适应估计 自适应因子 多因子 |
| 文章编号： | 1009-2307（2008）01-0071-03 |
| 收稿时间： | 2006-11-30 |
| 修稿时间： | 2006年11月30 |
Adaptively sequential adjustment with multi adaptive factors |
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| ZHANG Li-ping.Adaptively sequential adjustment with multi adaptive factors[J].Science of Surveying and Mapping,2008,33(1):71-73. |
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| Authors: | ZHANG Li-ping |
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| Abstract: | An adaptively sequential adjustment with multi adaptive factors is presented on the basis of adaptive filtering principle and two-factor equivalent weight for correlated observations to resist the disturbances of the parameter prior information.The estimation formula of the parameters for the adaptively sequential adjustment with multi adaptive factors is given.An example of GPS network data processing is performed, which shows that the adaptively sequential adjustment with multi adaptive factors is superior to the adaptively sequential adjustment with one adaptive factor if the disturbances of the parameter prior information are significantly different. |
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| Keywords: | sequential adjustment adaptive estimation adaptive factor multi adaptive factors |
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