增强型抗捕获RFID多标签识别防碰撞算法研究

摘要

射频识别(RFID)系统中,标签与阅读器通过空中媒介进行通信,由于标签之间的位置、方向等的差异,致使阅读器收到标签发送信号的强弱存在差异,进而发生捕获效应,相对较弱的信号被相对较强的信号捕获,因而被捕获的标签无法被阅读器识别.针对RFID多标签识别过程中捕获效应的特征,在碰撞树算法(CT)基础上,提出了一种新的抗捕获方法及基于该方法的RFID多标签识别算法,即增强型碰撞树算法(ECT).分析和实验过程表明,提出的抗捕获方法及ECT算法,能够有效解决RFID多标签识别过程中的标签捕获问题,完成RFID标签的完全识别,且算法识别性能远优于其它同类多标签识别算法.%In RFID system,the reader and tags communicate with each other by air interface,so the signals transmitted by tags are diverse because of their different locations and directions.And a weaker signal could be captured or covered by a stronger one,i.e.,capture effect occurs.And so the tag with weaker signal could not be identified by the reader.Accordingly,this paper proposed an effective method to solve the capture effect in RFID tags identification,and presents an efficient anti-collision algorithm named Enhanced Collision Tree Algorithm (ECT) based on the proposed method and Collision Tree Protocol (CT).Analysis and experiments indicate that the proposed method and ECT can solve the capture effect in RFID tags identification perfectly,and achieves the best performance compared with the other anti-collision algorithms dealing with capture effect.