基于余弦相似度的指纹匹配算法的室内定位方法

Indoor Positioning Method Based on Cosine Similarity of Fingerprint Matching Algorithm

介绍了基于位置指纹匹配的Wi Fi室内定位常用方法,提出了一种基于余弦相似度的指纹匹配算法的室内Wi Fi定位方法。该方法匹配算法复杂度低,降低了手机终端定位应用的功耗。本文也给出了Wi Fi定位系统的具体实现方法,通过在某室内环境将余弦相似度算法与常用方法进行对比测试,误差范围<1.5 m,准确度较高,满足室内定位精度需求。

This paper introduces the common methods of WiFi indoor location based on position fingerprint matching,and proposes a new method of indoor WiFi location based on cosine similarity.This method has low complexity and reduces the power consumption of mobile terminal positioning applications.This paper also described a method to implement the WiFi positioning system.By comparing test between the cosine similarity algorithm and common method in an indoor environment,the error range is<1.5m and the accuracy is higher.The method can meet the indoor positioning requirements.