基于有界成分分析的欠定RFID标签防碰撞技术  

Underdetermined RFID Tag Anti-collision Technology Based on Bounded Component Analysis

作　　者：王玲 骆忠强 WANG Ling;LUO Zhongqiang(School of Automation and Information Engineering,Sichuan University of Science and Engineering,Yibin 644002,China;Artificial Intelligence Key Laboratory of Sichuan Province,Sichuan University of Science and Engineering,Yibin 644002,China)

机构地区：[1]四川轻化工大学自动化与信息工程学院,四川宜宾644002 [2]四川轻化工大学人工智能四川省重点实验室,四川宜宾644002

出　　处：《无线电通信技术》2024年第5期977-984,共8页Radio Communications Technology

基　　金：国家自然科学基金(61801319);四川省科技厅项目(2020JDJQ0061,2021YFG0099);四川轻化工大学研究生创新基金项目(Y2023273)。

摘　　要：针对无线射频识别(Radio Frequency Identification,RFID)面临的标签碰撞问题,即同频干扰消除,从通信输层信号处理的角度,将多标签防碰撞问题建模为盲源分离(Blind Source Separation,BSS)问题。为降低阅读器天线成本,利用标签通信信号的有界性,提出了一种欠定的基于有界成分分析(Bounded Component Analysis,BCA)的RFID标签防碰撞技术,将欠定的标签信号碰撞模型与BCA机制相结合。经仿真试验结果表明,所提BCA算法能更好地解决欠定碰撞问题,改善标签信号同频干扰消除的效果,提高系统误码率(Bit Error Rate,BER)性能,降低欠定模型系统的复杂度。This paper focuses on the tag collision problem faced by Radio Frequency Identification(RFID),that is,co-channel interference elimination.From the perspective of communication transmission layer signal processing,the multi-label anti-collision problem is modeled as a Blind Source Separation(BSS)problem.In order to reduce the cost of reader antenna,this paper uses the boundedness of the tag communication signal to propose an underdetermined anti-collision technology for RFID tags based on Bounded Component Analysis(BCA).This algorithm combines an underdetermined tag signal collision model with a BCA mechanism.Simulation experiment verification and analysis results show that the proposed BCA algorithm can better solve the underdetermined collision problem,improve the effect of eliminating co-channel interference of tag signals,improve system Bit Error Rate(BER)performance,and reduce complexity of the underdetermined model system.

关 键 词：射频识别 标签碰撞 同频干扰消除 欠定 盲源分离 有界成分分析 

分 类 号：TN911.23[电子电信—通信与信息系统]