摘要
为提高室内定位系统中基于接收信号强度指示(RSSI)的定位精度,提出一种基于RSSI的贝叶斯室内定位算法。在对RSSI信号进行高斯滤波预处理后,利用三角形质心算法计算未知节点的初始坐标,对该初始坐标进行贝叶斯滤波处理,得到更加准确的坐标。实验结果表明,该算法能降低定位误差,定位精度可达98%。
In order to increase the positioning accuracy of indoor positioning system based on Received Signal Strength Indicator（RSSI）,a Bayesian indoor location algorithm based on RSSI is proposed.The algorithm preprocesses the RSSI signal by Gaussian filtering,uses the triangle centroid algorithm to calculate the unknown node’s initial coordinates,and handles it through Bayesian filtering to get the coordinates that is more accurate.Experimental results show that the precision of proposed algorithm can reach 98%,which reduces the positioning error.
出处
《计算机工程》
CAS
CSCD
2012年第10期237-240,共4页
Computer Engineering
基金
湖南省教育厅科学研究基金资助项目(09C081)
长沙理工大学人才引进基金资助项目(1004151)
关键词
室内定位
贝叶斯滤波算法
高斯滤波算法
三角形质心算法
接收信号强度指示
indoor location
Bayesian filtering algorithm
Gaussian filtering algorithm
triangle centroid algorithm
Received Signal Strength Indicator（RSSI）
