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基于空间分集和轨迹连续的实时Fingerprint定位算法
引用本文:刘兴川,张盛,徐立强,林孝康.基于空间分集和轨迹连续的实时Fingerprint定位算法[J].清华大学学报(自然科学版),2011(2).
作者姓名:刘兴川  张盛  徐立强  林孝康
作者单位:清华大学深圳研究生院;
基金项目:清华-意法半导体联合研究项目资助课题
摘    要:在室外复杂环境下,接收信号强度的浮动是制约Fingerprint定位精度的一个主要问题。传统的方法利用时间分集和平均滤波器来减小信号的浮动,这增加了定位的延迟,无法满足室外实时定位的需求。为了解决信号浮动和定位延迟问题,在分析接收信号强度空间相关性的基础上,提出了一种实时的Fingerprint定位算法,利用空间分集减小信号的浮动和定位延迟,同时根据运动物体轨迹的连续性提高定位精度。室外环境下的实验结果表明了所提算法能显著提高Fingerprint定位系统的性能。

关 键 词:信号强度  Fingerprint定位  空间分集  轨迹连续性  均方根误差(RMSE)  

Real time fingerprint positioning algorithm based on spatial diversity and trajectory continuity
LIU Xingchuan,ZHANG Sheng,XU Liqiang,LIN Xiaokang.Real time fingerprint positioning algorithm based on spatial diversity and trajectory continuity[J].Journal of Tsinghua University(Science and Technology),2011(2).
Authors:LIU Xingchuan  ZHANG Sheng  XU Liqiang  LIN Xiaokang
Institution:LIU Xingchuan,ZHANG Sheng,XU Liqiang,LIN Xiaokang(Graduate School at Shenzhen,Tsinghua University,Shenzhen 518055,China)
Abstract:Received signal strength fluctuations are a major limit to positioning accuracy in complex outdoor environments.Conventional approaches use the temporal diversity and an average filter to reduce the signal strength fluctuations,which increases the latency in estimating the location so they cannot satisfy the demands of outdoor real-time positioning systems.A real-time algorithm for fingerprint positioning was developed based on an analysis of the spatial correlation of the received signal strength.The algor...
Keywords:signal strength  fingerprint positioning  spatial diversity  trajectory continuity  root mean square error(RMSE)  
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