FURTHER STUDY ON PPP BASED ON GR MODELS WITH MULTIPLE ANTENNAS
FURTHER STUDY ON PPP BASED ON GR MODELS WITH MULTIPLE ANTENNAS
复制标题
基于多天线GR模型的PPP进一步研究
DOI：
--
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
S. Sugimoto
中科院分区：
文献类型：
--
作者：
S. Fujita;Y. Kubo;S. Sugimoto
在本文中，我们提出了基于 GR 模型（GNSS 回归模型）并使用多个天线的新的基于载波相位的精确单点定位（PPP）算法。之前，我们引入了 GR 方程，从而导出了 PPP 算法。在单频情况下，派生的 PPP 算法在没有任何外部信息（例如来自广域增强系统（WAAS））的情况下实现了分米误差级别的定位精度。在展示包含所谓的接收器和卫星硬件偏差的 GR 模型后，我们扩展了使用多个天线的 PPP 算法，并提出了一种称为超精确单点定位 (VPPP) 的新定位方法。 VPPP 算法是通过使用两个或多个具有共同时钟误差且天线间距离已知的 PPP 天线来推导的。我们在天线间距离的约束下制定了估计算法，从而导出了递归VPPP算法。最后，我们使用在静态环境中收集的真实接收器数据展示了当前 VPPP 算法的实验结果。
In this paper, we present the new carrier-phase-based Precise Point Positioning (PPP) algorithm based on GR models (GNSS Regression models) by using multiple antennas. Previously, we introduced GR equations such that a PPP algorithm was derived. In the single frequency case, the derived PPP algorithm achieved a positioning accuracy at the decimeter error level without any external information, such as from wide area augmentation system (WAAS). After showing the GR models which contain the so-called receiver’s and satellite’s hardware biases, we extend our PPP algorithm for using multiple antennas and present a new positioning method called Very Precise Point Positioning (VPPP). VPPP algorithms are derived by using two or more PPP antennas with common clock errors and known distances among antennas. We formulate estimation algorithms with the constraints of the distances among antennas so that the recursive VPPP algorithms are derived. Finally, we show the experimental results of the present VPPP algorithms using real receiver data collected in the static environments.