计算机工程 ›› 2012, Vol. 38 ›› Issue (10): 237-240.doi: 10.3969/j.issn.1000-3428.2012.10.073

• 开发研究与设计技术 • 上一篇    下一篇

一种基于RSSI的贝叶斯室内定位算法

彭玉旭,杨艳红   

  1. (长沙理工大学计算机与通信工程学院,长沙 410114)
  • 收稿日期:2011-12-08 出版日期:2012-05-20 发布日期:2012-05-20
  • 作者简介:彭玉旭(1977-),男,讲师、博士,主研方向:无线传感器网络,无线移动通信,移动计算;杨艳红,硕士研究生
  • 基金项目:
    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)

Bayesian Indoor Location Algorithm Based on RSSI

PENG Yu-xu, YANG Yan-hong   

  1. (School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha 410114, China)
  • Received:2011-12-08 Online:2012-05-20 Published:2012-05-20

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%。

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

Abstract: 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.

Key words: indoor location, Bayesian filtering algorithm, Gaussian filtering algorithm, triangle centroid algorithm, Received Signal Strength Indicator (RSSI)

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