计算机与现代化Issue(1)：33-36,39,5.DOI:10.3969/j.issn.1006-2475.2013.01.010
基于无源RFID的最小包容圆自适应定位法
Passive RFID Localization Based on Adaptive Smallest Inclusive Circle Algorithm
边江南 1刘洪武1
作者信息
- 1. 南昌航空大学信息工程学院,江西南昌330063
- 折叠
摘要
Abstract
In order to meet the development of the more and more high-accuracy of RFID indoor localization system, this paper puts forward a localization system which joins the adaptive K-nn algorithm of LANDMARC system with " the smallest inclusive circle localization algorithm". Furthermore, to match up the adaptive K-nn algorithm, the active reference tag is replaced with passive reference tag, the topology of them is arranged as regular triangle network which can prove the performance of localization, and make the system an intelligent unity. The simulation results show that this algorithm can effectively prove the accuracy of localization system.关键词
无源RFID/室内定位/自适应K临近法/拓扑结构/最小包容圆Key words
passive RFID/ indoor localization/ adaptive K-nn algorithm/ topology/ smallest inclusive circle分类
信息技术与安全科学引用本文复制引用
边江南,刘洪武..基于无源RFID的最小包容圆自适应定位法[J].计算机与现代化,2013,(1):33-36,39,5.
