首页|基于有界成分分析的欠定RFID标签防碰撞技术

基于有界成分分析的欠定RFID标签防碰撞技术

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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.
Underdetermined RFID Tag Anti-collision Technology Based on Bounded Component Analysis
This paper focuses on the tag collision problem faced by Radio Frequency Identification(RFID),that is,co-channel in-terference 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 complex-ity of the underdetermined model system.

RFIDtag collisionco-channel interference eliminationunderdeterminedBSSBCA

王玲、骆忠强

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四川轻化工大学自动化与信息工程学院,四川宜宾 644002

四川轻化工大学人工智能四川省重点实验室,四川宜宾 644002

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

国家自然科学基金四川省科技厅项目四川省科技厅项目四川轻化工大学研究生创新基金项目

618013192020JDJQ00612021YFG0099Y2023273

2024

无线电通信技术
中国电子科技集团公司第五十四研究所

无线电通信技术

北大核心
影响因子:0.745
ISSN:1003-3114
年,卷(期):2024.50(5)