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Undifferenced GLONASS Ambiguity Resolution Over Inhomogeneous Receivers Stations: Introducing Ionosphere Corrections or Resolving Ionosphere-free Ambiguities?

机译:无异常接收器站的无罪植物模糊分辨率:引入电离层校正或解决无离子层的含糊不清吗?

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Undifferenced ambiguity resolution for precise point positioning (PPP) can hardly be implemented for GLONASS data from inhomogeneous stations as GLONASS is based on FDMA (frequency division multiple access) signals. Since receiver hardware biases for all GLONASS satellites at a station are not identical, i.e., inter-frequency biases (IFBs), it is impossible to eliminate them by single differencing between satellites for the FCB (fractional-cycle bias) estimation to enable PPP ambiguity resolution. Although phase IFBs can be modeled with their linear relationship to the channel number, there is no easy approaches to correct for pseudorange IFBs, which thus prevent undifferenced ambiguity resolution across inhomogeneous GLONASS receivers. Geng and Bock (2016) proposed a method where external ionosphere products are introduced to constrain line-of-sight ionosphere parameters in order to reduce the adverse impact of pseudorange IFBs in contaminating undifferenced ambiguity estimates. In contrast, Banville (2016) proposed a method where ionosphere-free ambiguities of a wavelength of about 5 cm can be directly used for ambiguity resolution, as they are not affected by pseudorange IFBs. We can find that either method has its advantages and disadvantages, that is the former needs external ionosphere data which are not readily accessible or available to common users while Global Ionosphere Maps (GIMs) are disqualified due to their poor accuracy over a wide area, and the latter method is riskier when an ambiguity of about 5.3 cm wavelength has to be fixed to integers. Therefore, in this study, we are going to investigate both methods and inspect their performance in undifferenced ambiguity resolution with GLONASS data. We find that GLONASS ionosphere-free ambiguity resolution can achieve a high efficiency if integrated with GPS PPP ambiguity resolution, where about 90% of GLONASS ambiguities in hourly static solutions can be successfully fixed to integers, while 70% otherwise. However, GLONASS ionosphere-free ambiguity resolution in real-time scenarios is impaired by poor satellite orbits and insufficient error mitigations (atmosphere, etc.). On average, 16.8 minutes of observations are required to achieve an ambiguity-fixed solution in real time, even if GPS PPP ambiguity resolution is also carried out. In contrast, combining GLONASS and GPS PPP ambiguity resolution by resolving wide-lane and narrow-lane ambiguities can shorten the convergence time to about 6.2 minutes in real time.
机译:精确点定位(PPP)非差模糊度解算可以如GLONASS是基于FDMA(频分多址)信号几乎不能从不均匀站GLONASS数据实现。由于用于在站处所有GLONASS卫星接收机硬件偏差是不相同的,即,频率间的偏差(IFBS),这是不可能通过卫星之间的单差分的FCB(分数循环偏压)估计,以使PPP歧义消除它们解析度。虽然相IFBS可以用于信道数目的线性关系进行建模,没有容易接近以校正伪距IFBS,这从而防止在不均匀GLONASS接收机非差模糊度分辨率。耿和博克(2016)提出的,其中外部电离层的产品被引入线的视线约束电离层参数,以便减少在污染非差模糊度估计伪距IFBS的不利影响的方法。与此相反,班维尔(2016)提出,其中的约5cm的波长的电离层无歧义,可直接用于模糊分辨的,因为它们不会受到伪距IFBS的方法。我们可以发现,这两种方法都有其优点和缺点,那就是前者需要这是不容易接近或在全球电离层地图(的GIMs)被取消资格提供给普通用户,由于其精度差在广域外部电离层数据,和后一种方法是高风险的,当大约5.3厘米波长具有歧义以被固定为整数。因此,在这项研究中,我们将探讨这两种方法,并检查其非差模糊分辨率与GLONASS的数据性能。我们发现,GLONASS电离层无歧义的分辨率可以达到很高的效率,如果用购买力平价GPS整周模糊度,其中约90小时的静态解决方案GLONASS歧义%可以成功地固定到整数整合,而70%的除外。在实时场景然而,GLONASS消电离层模糊分辨率是由不良的卫星轨道和错误不足以缓解(大气等)受损。平均而言,需要16.8分钟意见,以实现实时的歧义固定的解决方案,即使GPS PPP歧义分辨率也进行了。相比之下,通过解析宽车道和窄莱茵模糊度可以缩短收敛时间实时大约6.2分钟结合GLONASS和GPS PPP歧义的分辨率。

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