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一种提高单历元解算大高差短基线精度的方法

A method for increasing precision of single epoch short baseline solution with large height difference by using semi-parametric model
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摘要 单历元基线解算可以避开传统基线解算中周跳探测等复杂的数据预处理过程。但是当两站高差较大时,即使是短基线,通过双差技术也不能充分消除对流层延迟,且残余对流层误差对单历元基线解算的影响较大,定位精度无法达到毫米级水平。针对以上问题,该文提出了采用半参数广义补偿最小二乘对大高差短基线进行单历元解算,削弱残余对流层误差影响的方法。实际算例表明,与常规的最小二乘法相比,该方法能很好地分离GPS残余对流层误差,各方向定位精度能达到毫米级水平。 Single epoch baseline solution can avoid the cycle slip detection and other complex data pretreatment process in traditional baseline calculating. Although the baseline is short, the tropospheric delay cannot be fully eliminated by double difference method if the height difference of two stations is very large. Residual tropospheric error will have an impact on single epoch baseline solution. The accuracy of single epoch GPS positioning cannot up to mm grade level. In this paper, the general compensated least squares for semi-parametric model was proposed to solve the short baseline with large height difference on single epoch. Experimental results showed that the semi-parametric model could separate residual tropospheric error and improve calculating precision of each direction up to mm grade better than the least squares estimation.
出处 《测绘科学》 CSCD 北大核心 2017年第6期24-30,共7页 Science of Surveying and Mapping
基金 现代城市测绘国家测绘地理信息局重点实验室开放基金项目(20141202)
关键词 GPS 短基线 单历元 部分搜索法 半参数广义补偿最小二乘 GPS short baseline single epoch parts search method general compensated least squares for semi-parametric model
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