XLIM, UMR CNRS 7252, Limoges University, 87060 Limoges, France.
Sensors (Basel). 2013 Jan 11;13(1):829-47. doi: 10.3390/s130100829.
Reliable GPS positioning in city environment is a key issue: actually, signals are prone to multipath, with poor satellite geometry in many streets. Using a 3D urban model to forecast satellite visibility in urban contexts in order to improve GPS localization is the main topic of the present article. A virtual image processing that detects and eliminates possible faulty measurements is the core of this method. This image is generated using the position estimated a priori by the navigation process itself, under road constraints. This position is then updated by measurements to line-of-sight satellites only. This closed-loop real-time processing has shown very first promising full-scale test results.
在城市环境中实现可靠的 GPS 定位是一个关键问题：实际上，信号容易受到多径效应的影响，许多街道的卫星几何形状都很差。本文的主要主题是使用 3D 城市模型来预测城市环境中的卫星可见性，以提高 GPS 定位的精度。该方法的核心是一种虚拟图像处理，用于检测和消除可能的错误测量值。该图像是使用导航过程本身根据道路约束预先估计的位置生成的。然后，仅通过测量值对线观测卫星进行更新。这种闭环实时处理已经在首次全面测试中取得了非常有前景的结果。
