摘要
比较了几种基于Wi Fi的室内定位方法,指出基于接收信号强度(RSSI)的室内定位技术不增加额外的硬件设备,更加易于推广。分析了基于RSSI的定位模型及指纹信息预测模型,指出指纹信息预测模型法可有效地提高室内定位精度,减少障碍物造成的定位误差。
This paper compared the indoor positioning methods based on Wi Fi. The indoor positioning technology based on received signal strength indication（ RSSI） is generalized easily and doesn＇t need the additional hardware devices. The positioning model based on RSSI and fingerprint information prediction model were analyzed. It is pointed out that the fingerprint information prediction model can effectively improve the accuracy of indoor positioning and reduce the positioning error caused by obstacles.
出处
《现代建筑电气》
2016年第1期64-67,共4页
Modern Architecture Electric
关键词
室内定位方法
接收信号强度(RSSI)
定位模型
指纹信息预测模型
indoor positioning method
received signal strength indication（RSSI）
positioning model
fingerprint information prediction model
