Author Login Editor-in-Chief Peer Review Editor Work Office Work

Computer Engineering ›› 2010, Vol. 36 ›› Issue (20): 256-258. doi: 10.3969/j.issn.1000-3428.2010.20.089

• Networks and Communications • Previous Articles     Next Articles

ZigBee Wireless Network Position Approach Based on Motion Estimation

TANG Wei, ZHENG Xiao-lin, GAN Hong-hua, CHEN De-ren   

  1. (School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China)
  • Online:2010-10-20 Published:2010-10-18

基于运动估计的ZigBee无线网络定位方法

唐 炜,郑小林,干红华,陈德人   

  1. (浙江大学计算机科学与技术学院,杭州 310027)
  • 作者简介:唐 炜(1984-),男,硕士研究生,主研方向:无线定位;郑小林、干红华,副教授;陈德人,教授
  • 基金资助:

    国家“十一五”科技支撑计划基金资助项目(2008BAH 24B03);浙江省科技计划优先主题基金资助项目(2008C01060-5)

Abstract:

The wireless netowrk position technologies based on ZigBee are developing rapidly in recent years, but in pratical application their precisions are also greatly affected by signal fluctuations caused by the multipath effect, human interference and so on. For the signal fluctuations in pratical application, the paper uses a vibration sersor to judge the motion state of position terminal, and estimates the motion path and direction by stable position fingerprints, finally searches for the nearest neighbors in the neighborhood of the estimated path, and gets the position result. Experimental results show the method weakens the affection caused by signal fluctuations, the precision statistics is about 2 m to 6 m.

Key words: wireless network, fingerprint position, vibration sensor, motion estimation

摘要:

基于Zigbee的无线网络定位技术在实际应用中存在多径效应,加之人体干扰等因素会引起的信号波动,从而导致定位精度受到很大影响。针对实际定位应用中的信号波动问题,采用震动传感器判断定位终端运动状态,利用稳定的位置指纹估计运动路径和方向,在估计运动路径的邻域内采用匹配最近邻,得到定位结果。实验结果表明,该方法减弱了信号波动带来的精度影响,定位精度为2 m~6 m。

关键词: 无线网络, 指纹定位, 震动传感器, 方向估计

CLC Number: