Abstract
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. © 2013 by the authors; licensee MDPI, Basel, Switzerland.
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CITATION STYLE
Peyraud, S., Bètaille, D., Renault, S., Ortiz, M., Mougel, F., Meizel, D., & Peyret, F. (2013). About non-line-of-sight satellite detection and exclusion in a 3D map-aided localization algorithm. Sensors (Switzerland), 13(1), 829–847. https://doi.org/10.3390/s130100829
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