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
王玲 1骆忠强2
作者信息
- 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
- 折叠
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.
Abstract
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.
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Key words
RFID/tag collision/co-channel interference elimination/underdetermined/BSS/BCA引用本文复制引用
基金项目
国家自然科学基金(61801319)
四川省科技厅项目(2020JDJQ0061)
四川省科技厅项目(2021YFG0099)
四川轻化工大学研究生创新基金项目(Y2023273)
出版年
2024
国家科技期刊平台
NSTL
万方数据