Robustness Analysis of Network RTK Interpolation Models
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摘要: 空间相关误差精确建模是网络RTK技术的关键,定量分析内插模型抗差性对网络RTK内插模型的选择和优化具有重要意义。以现有内插模型为研究对象,根据误差传播定律提出误差影响因子以评价内插模型的抗差性,通过理论结合实验的方法探究不同内插模型抗差性的空间分布特征。结果表明:不同内插模型抗差性空间分布有较大差异,三角形解算单元内,不同内插模型的抗差性均满足要求。Abstract: Modelling the spatial correlation error Accurately is the key of network RTK technology. Quantitative analysis of the interpolation models’ robustness is very important for the selection and optimization of network RTK interpolation models. The robustness of the interpolation model reflectingIn this paper, the existing interpolation models were studied, based on the law of error propagation, the concept of error impact factor is proposed to evaluate the robustness of the interpolation models. The theoretical and experimental methods were used to explore the spatial distribution characteristics of interpolation models’ robustness. The experimental results indicate that there is a great difference in the robustness of different interpolation models in spatial distribution, and inside the triangular cell, different interpolation models both meet the robustness requirements.
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Key words:
- Network RTK /
- interpolation models /
- robustness
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[1] 【1】李成钢. 网络GPS／VRS系统高精度差分改正信息生成与发布研究［D］. 成都:西南交通大学, 2007. [2] 徐彦田. 基于长距离参考站网络的B／S模式动态定位服务理论研究［D］. 阜新:辽宁工程技术大学, 2013. [3] 邓健, 赵兴旺, 张爱国. 长距离稀疏参考站下网络RTK电离层误差内插模型精度分析［J］. 测绘科学技术学报, 2015(3):236-240. [4] DAI L,HAN S,WANG J, et al. Comparison of Interpolation Algorithms in Network-Based GPS Techniques［J］. Navigation, 2003, 50(4):277-293. [5] WANNINGER L. Improved ambiguity resolution by regional differential modelling of the ionosphere［C］.//Proceedings of Ion GPS95, 1995. [6] GAO Y, LI Z. Ionosphere effect and modeling for regional area differential GPS network［C］.// Proceedings of International Technical Meeting of the Satellite Division of the Institute of Navigation, 1998. [7] HAN S, RIZOS C. GPS network sesign and error mitigation for real-time continuous array monitoring systems［C］.／／Proc. ION GPS96, 9th Int. Tech. Meeting of The Satellite Division of The U.S. Institute of Navigation. 1996:17-20. [8] RAQUET J, LACHAPELLE G, FORTES L P S. Use of a covariance analysis technique for predicting performance of regional-area differential code and carrier-phase networks［J］. Navigation, 2001, 48(1):25-34.［9】AlSHAERY A M, LIM S, RIZOS C. Functional models of ordinary Kriging for real-time kinematic positioning［J］. 5th International Navigation Conference and Exhibation Melaha, 2010. [9] 谢建涛,郝金明,邱璇. 一种改进的网络RTK对流层延迟误差线性内插模型［J］. 大地测量与地球动力学, 2013, 33(6):90-93. [10] 汪登辉,高成发,潘树国. 基于网络RTK的对流层延迟分析与建模［C］／／中国卫星导航学术年会电子, 2012. -
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