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

Yongyan ZOU; Yanzhi ZHANG

doi:10.11959/j.issn.1000-0801.2016244

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

Research and Development | 更新时间：2024-06-05

- Location tracking method with visual aids scheme on TI CC2431 ZPS platform for wireless sensor network
- Telecommunications Science Vol. 32, Issue 9, Pages: 68-74(2016)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016244
  CLC： TP393.09
- Published Online：2016-09，
  
  Published：15 September 2016
- 稿件说明：
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Yongyan ZOU, Yanzhi ZHANG. Location tracking method with visual aids scheme on TI CC2431 ZPS platform for wireless sensor network[J]. Telecommunications science, 2016, 32(9): 68-74.
DOI：

Yongyan ZOU, Yanzhi ZHANG. Location tracking method with visual aids scheme on TI CC2431 ZPS platform for wireless sensor network[J]. Telecommunications science, 2016, 32(9): 68-74. DOI： 10.11959/j.issn.1000-0801.2016244.

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。

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.

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references

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