Factor graphs have recently emerged as an alternative solution method for GNSS positioning. In this article, we review how factor graphs are implemented in GNSS, some of their advantages over Kalman Filters, and their importance in making positioning solutions more robust to degraded measurements. We also talk about how factor graphs can be an important tool for the field radio-navigation community.
翻译:最近出现了因子图,作为全球导航卫星系统定位的替代解决办法。在本条中,我们审视了因子图是如何在全球导航卫星系统中实施的,这些因子图与卡尔曼过滤器相比具有一些优势,以及它们在使定位解决方案对退化测量更加有力方面的重要性。我们还探讨了因子图如何成为外地无线电导航界的一个重要工具。