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Efficient differential code bias and ionosphere modeling and their impact on the network-based GPS positioning.

机译：高效的差分代码偏差和电离层建模及其对基于网络的GPS定位的影响。

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摘要

One of the major error sources in using Global Positioning System (GPS) measurements for modeling the ionosphere is the receiver differential code bias (DCB). Therefore, the determination of the receiver DCB is important, and to date, it has been done mostly using the single-layer ionospheric model assumption. In this dissertation, a new and efficient algorithm using the geometry conditions between the satellite and the tracking receivers is proposed to determine the receiver DCB using permanent reference stations. In this method, an assumption that ionosphere is represented by a single-layer model is not required, which makes DCB computation independent on the pre-selected ionosphere model. In addition, this method is simple, accurate and computationally efficient. The principal idea is that the magnitude of the signal delay caused by the ionosphere is, under normal conditions, highly dependent on the geometric range between the satellite and the receiver. The proposed algorithm was tested with the Ohio Continuously Operating Reference Stations (CORS) and the Transantarctic Mountains Deformation (TAMDEF) sub-network data. The results show that quality comparable to the traditional DCB estimation method is obtainable with greater computational efficiency and simple algorithmic implementation.; Currently, fast and accurate long baseline positioning in both rapid-static and kinematic mode is a challenging topic, but positional accuracy can be improved with the help of the network-derived external ionospheric corrections. To provide not only ionospheric corrections, but also their variances, satellite-by-satellite interpolation for the ionospheric delays is performed using the least-squares collocation (LSC) method. Satellite-by-satellite interpolation has the advantage in that the vertical projection used in single-layer ionospheric model is not required. Also, more reliable user positioning and the corresponding accuracy assessment can be obtained by providing not only external ionospheric corrections but also their variances. The rover positioning with and without the external ionospheric delays in both rapid-static and kinematic mode was performed and analyzed. The numerical results indicate that the improvement in the positioning quality is achieved using the proposed method. A 23% improvement in mean time-to-fix was observed with the Ohio CORS network in the rapid-static mode, while a 27% improvement was obtained in the kinematic mode. With the Antarctic TAMDEF network, 10% and 18% improvements in mean time-to-fix in rapid-static and kinematic modes, respectively, were achieved. The improvement in the positioning quality of the TAMDEF network was relatively low because the number of stations in the network was not sufficient to properly capture the local variations of the ionosphere, which is more variable in a small scale, as compared to mid-latitudes.
机译：使用全球定位系统（GPS）测量模型对电离层建模的主要误差源之一是接收机差分代码偏置（DCB）。因此，接收机DCB的确定很重要，迄今为止，大多数情况是使用单层电离层模型假设完成的。本文提出了一种利用卫星与跟踪接收机之间的几何条件的新型高效算法，利用永久参考站确定接收机的DCB。在这种方法中，不需要假设电离层由单层模型表示，这使得DCB计算独立于预选的电离层模型。另外，该方法简单，准确且计算效率高。其主要思想是，在正常条件下，由电离层引起的信号延迟的幅度高度取决于卫星与接收器之间的几何范围。该算法已在俄亥俄州连续运行参考站（CORS）和跨南极山脉变形（TAMDEF）子网数据中进行了测试。结果表明，与传统的DCB估计方法相比，可以获得质量更高的计算效率和简单的算法实现。当前，在快速静态和运动学模式下快速而准确的长基线定位是一个具有挑战性的话题，但是借助网络衍生的外部电离层校正可以提高定位精度。为了不仅提供电离层校正，还提供其方差，可使用最小二乘配置（LSC）方法对电离层延迟进行逐卫星内插。逐卫星插值的优点在于，不需要单层电离层模型中使用的垂直投影。而且，不仅可以提供外部电离层校正，还可以提供它们的方差，从而可以获得更可靠的用户定位和相应的精度评估。在快速静态和运动学模式下，对有无外部电离层延迟的流动站进行了定位和分析。数值结果表明，该方法可以提高定位质量。在快速静态模式下，Ohio CORS网络的平均修复时间提高了23％，而在运动学模式下，平均修复时间提高了27％。使用南极TAMDEF网络，在快速静态和运动学模式下的平均修复时间分别提高了10％和18％。 TAMDEF网络定位质量的改善相对较低，因为网络中的站点数量不足以正确捕获电离层的局部变化，与中纬度相比，电离层的局部变化在小范围内变化更大。

著录项

  • 作者

    Hong, Chang-Ki.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Geodesy.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 244 p.
  • 总页数 244
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大地测量学;遥感技术;
  • 关键词

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