Rapid Retrieval:      
引用本文:
【打印本页】   【下载PDF全文】   View/Add Comment  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 1164次   下载 1454 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于测距的定位系统中位置解算研究
刘中令, 徐超杰, 俞晖
上海交通大学
摘要:
在现有的基于测距的位置解算算法中,定位精度受测距误差的影响较大.为了提高定位精度,提出了一种基于根心的位置解算算法.该算法中,首先根据位置未知的节点(Target节点)与每三个位置已知的节点(Anchor节点)之间的距离测量值,计算出对应的根心坐标;在根心集合中,滤除误差较大的部分根心;根据剩余根心的坐标及其权重值,计算平均值作为解算结果.仿真结果表明,在相同的误差下,提出的位置解算算法相比于现有的基于测距的位置解算算法有效地降低了解算误差,提高了定位精度.
关键词:  位置解算算法  根心  Anchor节点  Target节点
DOI:
分类号:
基金项目:
Study on position computing in range-based localization system
LIU Zhongling, XU Chaojie, YU Hui
School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University
Abstract:
In the existing range-based position computing algorithm,the localization accuracy is greatly influenced by the error of measured distance.In order to improve the localization accuracy,this paper presents an optimized indoor localization algorithm based on radical center.In the algorithm,firstly,calculating the radical center bases on the measured distance between every three anchor nodes and the target node.Then,percentage of the radical centers in the set which have large localization error are filtered out.Finally,computing the average of the remaining radical centers′ coordinates as the result bases on their weight.The result of simulation showed that compared with the existing range-based position computing algorithm,the presented position computing algorithm reduces the localization error and improves the localization accuracy effectively.
Key words:  position computing algorithm  radical center  anchor node  target node