Cost Function Based Map Matching Algorithm for GPS/DR Integrated Navigation Systems
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摘要: 研究了地图匹配技术在GPS(Global Positioning System)/DR(Dead Reckoning)组合导航系统中的应用,建立了GPS/DR/地图匹配组合导航系统模型,给出了一种基于代价函数和概率统计准则的地图匹配算法,通过合理地定义代价函数有效消除了存在于匹配路段挑选过程中的模糊性问题.对实际跑车数据的仿真处理结果表明,应用该算法可以为组合导航系统的定位精度带来明显的改善.Abstract: Map-matching is an effective way of improving location accuracy of vehicle location and navigation systems. By analyzing the application of map-matching method in GPS/DR integrated navigation systems, a GPS/DR/Map-matching integrated system model and a cost function based probabilistic map-matching algorithm are proposed. Emphasis was put on how to eliminate the ambiguity in finding map-matching resolution by evaluating a cost function for each correction over time. Simulation results show that, by introducing this algorithm, the positioning performance of integrated navigation system can be improved significantly.
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