基于Wi-Fi指纹和随机森林的定位算法

Location algorithm based on Wi-Fi fingerprint and Random Forest

针对Wi-Fi信号强度的相似性对室内定位的影响,本文提出一种基于Wi-Fi指纹和随机森林的室内定位算法。该算法采用Wi-Fi作为信号源,以接收信号强度指示和基本服务集标识符来构建Wi-Fi指纹库,从而建立随机森林模型用于室内位置感知。仿真实验表明,该算法的定位误差约为2.26 m,与同类算法相比,在执行时间和定位精度上具有较好的优越性,算法精度提高约3.2%。

Aiming at the influence of the similarity of Wi-Fi signal strength on indoor positioning,this paper proposes an indoor positioning algorithm based on Wi-Fi fingerprint and Random Forest.The algorithm uses Wi-Fi as a signal source to construct the Wi-Fi fingerprint library by receiving signal strength indication and basic service set identifiers,thereby establishing a Random Forest model for indoor location sensing.The simulation results show that the positioning error of the algorithm is about 2.26 m.Compared with similar algorithms,it has better performance in execution time and positioning accuracy,and the accuracy of the algorithm is improved by about 3.2%.