太原理工大学学报2025，Vol.56Issue(6)：1073-1080,8.DOI:10.16355/j.tyut.1007-9432.20230414
针对IQ域多标签碰撞信号的改进小波聚类算法
Improved Wavelet Clustering Algorithm for IQ-Domain Multi-Tag Collision Signals
摘要
Abstract
[Purposes]An improved wavelet clustering algorithm is proposed to address the issue of cluster overlap in the In-phase and Quadrature(IQ)domain caused by multi-tag collisions in Radio Frequency Identification(RFID)backscatter systems.This algorithm offers significant advantages in dealing with cluster overlap problems that are not effectively resolved by conventional clustering algo-rithms.[Methods]In the improved wavelet clustering algorithm,on the basis of the original wavelet clustering algorithm,the characteristics of multi-tag collision signals were leveraged.In general,the transition points are removed as noise points,however,they have a certain segmentation effect on the signal multi-tag collision signal.By utilizing the discrete transition points between combined state clus-ters,the overlapped combined state clusters were separated and the numbers of correctly classified combined state clusters were identified.[Results]Experimental results demonstrate that the improved wavelet clustering algorithm can effectively distinguish the overlapped combined state clusters affected by noise and achieve accurate symbol clustering.关键词
反向散射系统/多标签碰撞/组合状态簇/小波聚类Key words
backscatter system/multi-tag collision/combined state clusters/wavelet clustering分类
信息技术与安全科学引用本文复制引用
张晓鹏,赵菊敏,李灯熬..针对IQ域多标签碰撞信号的改进小波聚类算法[J].太原理工大学学报,2025,56(6):1073-1080,8.基金项目
国家自然科学基金面上项目(61972273),国家重大科研仪器研制项目(62027819),山西省重点研发计划(202102020101006),山西省关键核心技术和共性技术研发攻关专项项目(2020XXX007),山西省科技成果转化引导专项项目(202204021301041),山西省重点研发计划(202102020101001),山西省重点研发项目(202102020101004),国家自然科学基金青年科学基金项目(62102280),山西省基础研究计划项目(20210302124167) （61972273）
