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随着LBS时代的来临,位置信息获取的需求日益提升,而传统卫星定位手段无法适用于封闭的室内环境,因此,对于室内环境的定位导航手段逐渐成为新的研究热点。本文对基于WiFi和MEMS传感器的两种定位方式进行介绍,并提出一套基于WiFi指纹匹配和MEMS传感器PDR算法组合的组合室内定位方法。试验结果表明,在行人正常移动状态下,组合定位方法具备1 m的定位精度,且保持连续稳定。
With the advent of the LBS era, the demand for obtaining location information is increasing day by day. However, the traditional satellite positioning methods can not be applied to a closed indoor environment. Therefore, positioning and navigation methods for the indoor environment gradually become a new research hotspot. This paper introduces two positioning methods based on WiFi and MEMS sensors and proposes a combined indoor positioning method based on the combination of WiFi fingerprint matching and MEMS sensor PDR algorithm. The experimental results show that the combined positioning method has the positioning accuracy of 1 m in the normal moving state of pedestrians, and keeps the continuous stability.