基于RSSI测距的室内定位研究  

Research of Indoor Location Based on RSSI Ranging

作　　者：周二林[1] 王冠凌[1] 

机构地区：[1]安徽工程大学电气工程学院,安徽芜湖241000

出　　处：《重庆理工大学学报（自然科学）》2014年第9期98-101,121,共5页Journal of Chongqing University of Technology：Natural Science

基　　金：安徽高校省级自然科学研究重点项目(KJ2013A042)

摘　　要：针对复杂的室内环境导致定位精度较低,无法满足正常的室内定位要求的问题,为了在室内环境中获得更精确的RSSI值及测距值,提出了对RSSI值进行加权处理和对测距值进行最小二乘法修正相结合的方法。试验结果表明:经本算法处理后的定位精度比未进行加权和修正的定位算法精度有所提高,且能满足大多数室内定位的要求。The complexity of indoor environment like the characteristic of multipath propagation makes the positioning accuracy too low to meet the normal requirements. Research shows that greater value of RSSI gets greater reference value and the RSSI Ranging corrected by least square method can also improve the positioning accuracy. In order to get more accurate positioning parameters, this paper proposed a combination of both methods. Tests show that the method meets the requirements of most indoor positioning.

关 键 词：室内定位 RSSI 加权算法 定位精度 最小二乘法 

分 类 号：TN92[电子电信—通信与信息系统]