计算机与现代化 ›› 2012, Vol. 1 ›› Issue (200): 148-04.doi: 10.3969/j.issn.1006-2475.2012.04.041

• 算法设计与分析 • 上一篇    下一篇

基于径向基函数的RFID定位算法研究

张南萍,刘洪武,张小林   

  1. 南昌航空大学信息工程学院,江西 南昌 330063
  • 收稿日期:2011-11-17 修回日期:1900-01-01 出版日期:2012-04-16 发布日期:2012-04-16

Research on RFID Location Algorthm Based on RBF

ZHANG Nan-ping, LIU Hong-wu, ZHANG Xiao-lin   

  1. Institute of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
  • Received:2011-11-17 Revised:1900-01-01 Online:2012-04-16 Published:2012-04-16

摘要: 径向基函数是一种新型的无网格插值方法,具有网络结构简单、学习方法快速等优点。针对最近K值算法对标签定位准确度低的问题,本文试图将两者的优点结合起来,提出一种新型的动态网络结构的定位算法。基于这种改进算法构建了室内定位系统,并使用Matlab软件仿真。实验结果表明,在不额外增加参考标签的前提下,改进算法大大提高了待定位标签的定位准确度。

关键词: 射频识别, 定位算法, 径向基函数, 动态神经网络

Abstract: Radial basic function is a recent meshless interpolation technique. It has a very simple form and study with quick speed. For the low positioning accuracy of K value algorithm to LANDMARC positioning, this paper proposes a new dynamic method in the combination of the advantages of these two methods. The indoor positioning system based on the improved method is constructed, and then uses Matlab to simulate. The results show that, the improved algorithm enhances the positioning accuracy of the positioned tags.

Key words: RFID, positioning algorithm, RBF, dynamic neural network