计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (7): 231-233.

• 工程与应用 • 上一篇    下一篇

多传感器网络目标定位的一种算法及其实现

程铭东1,2,詹 亮2   

  1. 1.黄石理工学院 数理学院,湖北 黄石 435003
    2.华中师范大学 数学与统计学院,武汉 430079
  • 收稿日期:2007-06-29 修回日期:2007-09-07 出版日期:2008-03-01 发布日期:2008-03-01
  • 通讯作者: 程铭东

New algorithm and implement of multi-sensor network target localization basis

CHENG Ming-dong1,2,ZHAN Liang2   

  1. 1.Department of Mathematics and Physics,Huangshi Institute of Technology,Huangshi,Hubei 435003,China
    2.Mathematics & Statistics College,Huazhong Normal University,Wuhan 430079,China
  • Received:2007-06-29 Revised:2007-09-07 Online:2008-03-01 Published:2008-03-01
  • Contact: CHENG Ming-dong

摘要: 在多传感器网络中,测距定位是目标定位的一种常用手段,但是由于系统设备和环境干扰等因素的影响,使得测距数据产生误差,影响定位精度。目前还没有更好的方法用来消除误差,只能应用某些特定的算法,来尽量减少测距误差对定位精度的影响。提出了一种基于测量误差服从概率统计特性的算法,首先根据所有测距数据,拟合出初始概位点,以初始概位点为中心,选取矩形区域并网格化,以每一个小网格的中心点代表该小网格,再通过所有感知节点的3-3组合,统计小网格的权值,以权值最大点作为目标定位点。通过在MATLAB软件包中编程并仿真实验,结果表明,该算法可有效地提高定位精度。

Abstract: In multi-sensor networks,range-based localization is a common means of target localization;However,because of some interference such as the system’s equipment and environmental factors,it will have a range of data errors which affect localization accuracy.At present,there is no better way to eliminate error;Certain specific algorithms can only be applied to minimize the error of localization accuracy.This paper presents a measurement error based on the statistical characteristics of obedience probability algorithm,first according to all the location data,fitting-out the initial estimates point,then take the initial estimates point as the center position of the selected regional rectangular grid,each a small grid on behalf of the center of the small grid,and through the perception of all the nodes 3-3 portfolio Statistics small mesh weights,weights to the largest point as a target point.Through the MATLAB software programming and simulation results show that the algorithm can effectively improve positioning accuracy.