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基于CORS的区域大气增强产品对实时PPP的影响
引用本文:姚宜斌,冯鑫滢,彭文杰,刘磊.基于CORS的区域大气增强产品对实时PPP的影响[J].武汉大学学报(信息科学版),2019,44(12):1739-1748.
作者姓名:姚宜斌  冯鑫滢  彭文杰  刘磊
作者单位:1.武汉大学测绘学院, 湖北 武汉, 430079
基金项目:国家自然科学基金41574028
摘    要:精密单点定位(precise point positioning,PPP)的初始化速度是制约PPP实时应用的主要因素。基于连续运行参考系统(continuously operating reference system,CORS)获取大气改正产品可以改善非组合PPP收敛时间,同时可定量探究各类大气产品对实时PPP浮点解的影响,并评估产品的精度与有效性。实时PPP实验结果表明,相对于传统PPP模式,引入电离层产品使PPP东方向收敛时间显著改善,北方向与高程方向次之,且基于非组合PPP方法获取的区域PPP电离层产品(分别改善85%、61%、18%)优于无几何距离组合相位平滑伪距方法获取的区域平滑电离层产品;引入对流层产品对高程方向的收敛时间有显著改善(52%)。而相较于单一产品和其他产品组合约束,区域PPP电离层产品和区域对流层产品组合约束PPP拥有更好的性能,对东、北、高程方向分别改善85%、63%、69%。

关 键 词:区域平滑电离层产品    区域PPP电离层产品    区域对流层产品    非组合PPP
收稿时间:2018-12-16

Local Atmosphere Augmentation Based on CORS for Real-Time PPP
Institution:1.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
Abstract:Real-time precise point positioning (PPP) is mainly limited by the initialization speed. This paper utilizes different local atmosphere augmentation products based on continuously operating reference system (CORS) to improve the convergence time of uncombined PPP, and studies the effects of different atmosphere products on PPP float solution, and then assesses their accuracy and validity of them. The results of the real-time PPP experiments show that, comparing with the traditional PPP, ionosphere products improve PPP convergence time on E (East)-direction significantly, N (North)-direction moderately and U (Up)-direction finitely. Besides, the local PPP ionosphere products based on traditional uncombined PPP (helping improvce 85%, 61%, 18% respectively) are superior to the local smooth ionosphere products based on the geometry-free carrier-phase smoothing code pseudorange method. On the other hand, troposphere products can largely improve U-direction convergence time of PPP by 52%. Moreover, the local PPP ionosphere products and local troposphere products combined PPP has better performance than the single product or other combined products constrained PPP, which improves, the E, N, U directions by 85%, 63%, 69% respectively.
Keywords:
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