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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Ambiguity of Residual Constraint-Based Precise Point Positioning with Partial Ambiguity Resolution under No Real-Time Network Corrections Using Real Global Positioning System (GPS) Data
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Ambiguity of Residual Constraint-Based Precise Point Positioning with Partial Ambiguity Resolution under No Real-Time Network Corrections Using Real Global Positioning System (GPS) Data

机译：在使用实时全球定位系统（GPS）数据进行无实时网络校正的情况下基于残差约束的精确点定位和部分歧义度的歧义

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摘要

Although precise point positioning (PPP) is a well-established and promising technique with the use of precise satellite orbit and clock products, it costs a long convergence time to reach a centimeter-level positioning accuracy. The PPP with ambiguity resolution (PPP-AR) technique can improve convergence performance by resolving ambiguities after separating the fractional cycle bias (FCB). Now the FCB estimation is mainly realized by the regional or global operating reference station network. However, it does not work well in the areas where network resources are scarce. The contribution of this paper is to realize an ambiguity residual constraint-based PPP with partial ambiguity resolution (PPP-PARC) under no real-time network corrections to speed up the convergence, especially when the performance of the float solution is poor. More specifically, the update strategy of FCB estimation in a stand-alone receiver is proposed to realize the PPP-PAR. Thereafter, the solving process of FCB in a stand-alone receiver is summarized. Meanwhile, the influencing factors of the ambiguity success rate in the PPP-PAR without network corrections are analyzed. Meanwhile, the ambiguity residual constraint is added to adapt the particularity of the partial ambiguity-fixing without network corrections. Moreover, the positioning experiments with raw observation data at the Global Positioning System (GPS) globally distributed reference stations are conducted to determine the ambiguity residual threshold for post-processing and real-time scenarios. Finally, the positioning performance was verified by 22 GPS reference stations. The results show that convergence time is reduced by 15.8% and 26.4% in post-processing and real-time scenarios, respectively, when the float solution is unstable, compared with PPP using a float solution. However, if the float solution is stable, the PPP-PARC method has performance similar to the float solution. The method shows the significance of the PPP-PARC for future PPP applications in areas where network resource is deficient.
机译：尽管精确点定位（PPP）是使用精确的卫星轨道和时钟产品的成熟且有前途的技术，但是要达到厘米级的定位精度，它花费了很长的收敛时间。具有歧义解析的PPP（PPP-AR）技术可以通过分离分数周期偏差（FCB）后解决歧义来提高收敛性能。现在，FCB估算主要通过区域或全球运行参考站网络来实现。但是，它在网络资源稀缺的地区效果不佳。本文的目的是在不进行实时网络校正的情况下实现具有部分歧义解决方案的基于歧义残差约束的PPP（PPP-PARC），以加快收敛速度​​，尤其是在float解决方案的性能较差的情况下。更具体地，提出了在独立接收机中的FCB估计的更新策略以实现PPP-PAR。此后，总结了FCB在独立接收器中的求解过程。同时，分析了未经网络校正的PPP-PAR中歧义成功率的影响因素。同时，添加了模糊度残差约束以适应部分模糊度固定的特殊性，而无需进行网络校正。此外，进行了在全球定位系统（GPS）全球分布参考站的原始观测数据定位实验，以确定后处理和实时方案的歧义残差阈值。最后，通过22个GPS参考站对定位性能进行了验证。结果表明，与使用浮动解决方案的PPP相比，在浮动解决方案不稳定的情况下，在后处理和实时方案中，收敛时间分别减少了15.8％和26.4％。但是，如果浮动解决方案稳定，则PPP-PARC方法的性能类似于浮动解决方案。该方法显示了PPP-PARC对于网络资源不足的地区未来PPP应用的重要性。

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