基于无线局域网接收信号强度分析的混合室内定位方法

Hybrid indoor positioning method based on WLAN RSS analysis

为了给用户提供丰富的室内位置服务,需要在结构复杂且人员密集的室内环境中进行精确定位。根据对无线局域网接收信号强度的分析,可以利用三角定位算法和指纹定位算法进行混合室内定位。首先在网格划分的基础上离线构造参考点接收信号强度数据库,并采用三角定位算法估算所有无线接入点的位置,然后根据定位精度需求设定混合定位方法的接收信号强度阈值。在线定位时,根据用户终端实际接收到的无线接入点个数和信号强度选择三角定位算法或指纹定位算法进行位置计算。实验表明,该室内定位方法有效且稳定。

In order to provide abundant indoor location-based services（LBS）,it is crucial to get accurate location in complex and crowded indoor environments.According to the received signal strength（RSS）analysis in wireless local area network（WLAN）,hybrid indoor positioning method integrating trilateration and fingerprint is reasonable.Firstly,The RSS database of reference points is established based on the divided grids,and the locations of wireless access points（APs）are estimated by applying trilateration,then the RSS threshold is set based on the positioning accuracy requirement.During online positioning,according to the number and RSS of wireless APs accessed by terminal of users,trilateration or fingerprint is selected for calculating position.Experimental results show that the proposed indoor positioning method is effective and stable.