超高频射频识别标签数据盲分离算法

摘要

提出了一种新的基于ICA的超高频(Ultra high frequency,UHF)射频识别(Radio frequency identification,RFID)多标签混合数据盲分离算法.在分析UHF RFID系统链路传输模型、标签数据编码规则以及多天线RFID系统模型的基础上,得出UHF RFID多标签混合数据符合ICA算法要求的结论,并利用FastICA算法对UHFRFID仿真数据进行了盲分离,定量分析了算法的分离效果及抗噪声性能.实验结果表明,利用ICA技术对多标签混合数据进行盲分离可获得良好的效果.这为将盲分离技术应用于UHF RFID系统标签防碰撞算法奠定了良好的理论和实验依据.%A new ICA-based UHF RFID multi-tag hybrid data blind separation algorithm is presented. Based on the analysis of RFID system communication link model, tag data encoding rule and multi-antenna RFID system model, it is concluded that UHF RFID multi-tag hybrid data meets the requirements of ICA algorithm. The blind separation is calculated by using Fas-tICA algorithm for simulation data of UHF RFID tags data. The separation effect and anti-noise performance of this algorithm is analyzed quantitatively. Experimental results show that perfect results can be obtained in multi-tag hybrid data blind separation by using ICA techniques. A good theoretical and experimental basis of applying blind separation to UHF RFID tag anti-collision algorithm has been established.