电信科学 ›› 2016, Vol. 32 ›› Issue (9): 68-74.doi: 10.11959/j.issn.1000-0801.2016244

• 研究与开发 • 上一篇    下一篇

WSN中视觉辅助方案结合TI CC2431 ZPS平台的跟踪定位方法

邹永艳1,张衍志2   

  1. 1 四川工程职业技术学院电气信息工程系,四川 德阳 618000
    2 四川工程职业技术学院教学设备管理处,四川 德阳 618000
  • 出版日期:2016-09-15 发布日期:2016-10-20

Location tracking method with visual aids scheme on TI CC2431 ZPS platform for wireless sensor network

Yongyan ZOU1,Yanzhi ZHANG2   

  1. 1 Department of Electrical& Information Engineering,Sichuan Engineering Technical College,Deyang 618000,China
    2 Teaching Equipment Management Office,Sichuan Engineering Technical College,Deyang 618000,China
  • Online:2016-09-15 Published:2016-10-20

摘要:

针对无线传感器网络中,位置跟踪定位方法在短时间内速度的急剧变化可能导致角效应并降低定位精度以及单个方案难以提高定位精度的问题,提出一种在TI CC2431 ZPS 平台上,利用卡尔曼滤波(KF)和视觉辅助的跟踪定位方法。在归一化互相关的基础上使用视觉辅助校准技术,根据视觉辅助方法提取参考节点的位置作为地标,然后使用KF方法校准位置估算。提出的方法有效避免了实际动态环境中系统错误导致的不确定性,降低位置估算系统中的角效应,提高了定位精度。实验结果表明:TI ZPS方法和基于KF的方法都有超过56%的估计位置误差距离分别小于2.3 m和1.9 m;而提出的跟踪定位方法有超过56%的估计位置误差距离小于1.5m。

关键词: 无线传感器网络, 跟踪定位, 卡尔曼滤波, 视觉辅助, ZPS平台

Abstract:

In wireless sensor network,concerning that dramatic changes of speed in a short period of time may lead to angle effect and reduce the location accuracy for tracking,and individual scheme is difficult to improve the location tracking accuracy,a location tracking method using Kalman filter and visual aids on TI CC2431 ZPS platform was proposed.Visual aid was used on the basis of normalized cross correlation,and the position of the reference node was extracted being as landmarks according to the visual aid method,and then the KF method was used to calibrate the position estimation.The proposed method could effectively avoid the uncertainty caused by the system error in the actual dynamic environment,and reduced the angular effect of the position estimation system,and improved the location tracking accuracy.The experimental results demonstrate that more than 56 percent of the location estimates have error distances less than 2.3 meters and 1.9 meters for TI ZPS method and KF based method,more than 56 percent of the location estimates have error distances less than 1.5 meters for the proposed method.

Key words: wirelesssensornetwork, locationtracking, Kalmanfilter, visualaid, ZPSplatform

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