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Modeling and quality control for reliable precise point positioning integer ambiguity resolution with GNSS modernization

机译:通过GNSS现代化实现可靠的精确点定位整数歧义分辨率的建模和质量控制

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Recent research has demonstrated that the undifferenced integer ambiguities can be recovered using products from a network solution. The standard dual-frequency PPP integer ambiguity resolution consists of two aspects: Hatch-Melbourne-Wübbena wide-lane (WL) and ionosphere-free narrow-lane (NL) integer ambiguity resolution. A major issue affecting the performance of dualfrequency PPP applications is the time it takes to fix these two types of integer ambiguities, especially if the WL integer ambiguity resolution suffers from the noisy pseudorange measurements and strong multipath effects. With modernized Global Navigation Satellite Systems, triple-frequency measurements will be available to global users and an extra WL (EWL) model with very long wavelength can be formulated. Then, the easily resolved EWL integer ambiguities can be used to construct linear combinations to accelerate the PPP WL integer ambiguity resolution. Therefore, we propose a new reliable procedure for the modeling and quality control of triple-frequency PPP WL and NL integer ambiguity resolution. First, we analyze a WL integer ambiguity resolution model based on triple-frequency measurements. Then, an optimal pseudorange linear combination which is ionosphere-free and has minimum measurement noise is developed and used as constraint in the WL and the NL integer ambiguity resolution. Based on simulations, we have investigated the inefficiency of dual-frequency WL integer ambiguity resolution and the performance of EWL integer ambiguity resolution. Using almanacs of GPS, Galileo and BeiDou, the performances of the proposed triple-frequency WL and NL models have been evaluated in terms of success rate. Comparing with dual-frequency PPP, numerical results indicate that the proposed triple-frequency models can outperform the dual-frequency PPP WL and NL integer ambiguity resolution. With 1 s sampling rate, generally, only several minutes of data are required for reliable triplefrequency PPP WL and NL integer ambiguity resolution. Under benign observation situations and good geometries, the integer ambiguity can be reliably resolved even within 10 s.
机译:最近的研究表明,可以使用网络解决方案中的产品来恢复无差异的整数歧义。标准双频PPP整数歧义分辨率包括两个方面:Hatch-Melbourne-Wübbena宽车道(WL)和无电离层窄车道(NL)整数歧义分辨率。影响双频PPP应用程序性能的一个主要问题是修复这两种类型的整数歧义所花费的时间,尤其是如果WL整数歧义分辨率受到嘈杂的伪距测量和强多径效应的影响时。借助现代化的全球导航卫星系统,全球用户将可以使用三频测量,并且可以制定一个具有很长波长的额外WL(EWL)模型。然后,可以使用容易解决的EWL整数模糊度来构建线性组合,以加快PPP WL整数模糊度的分辨率。因此,我们提出了一种新的可靠程序,用于三频PPP WL和NL整数歧义分辨率的建模和质量控制。首先,我们分析基于三频测量的WL整数歧义分辨率模型。然后,开发了无电离层且具有最小测量噪声的最佳伪距线性组合,并将其用作WL和NL整数模糊度分辨率的约束。基于仿真,我们研究了双频WL整数歧义分辨率的效率低下和EWL整数歧义分辨率的性能。使用GPS,伽利略和北斗的历书,已对成功提出的三频WL和NL模型的性能进行了评估。与双频PPP相比,数值结果表明,所提出的三频模型可以胜过双频PPP WL和NL整数歧义分辨率。通常,以1 s的采样速率,仅需几分钟的数据即可获得可靠的三频PPP WL和NL整数歧义分辨率。在良性观察情况和良好的几何条件下,即使在10 s之内,整数模糊度也可以可靠地解决。

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