Unsupervised Clustering Separation in Cross-Layer Approach for UHF RFID Tag Collision Recovery
In passive ultra-high frequency(UHF)radio frequency identification(RFID)system,tag collision is generally resolved on a medium access control(MAC)layer.However,the collided signals are in fact recovered on a cross-physical(PHY)-MAC layer to enhance identification efficiency.This paper adopts the cross-layer approach to propose an unsupervised clustering algorithm which could directly separate the collision RFID signal on the PHY layer.The advantage of the proposed algorithm is to have lower computational complexity than traditional unsupervised clustering methods,like k-means.Moreover,the proposed algorithm does not depend on prior known prefix signals as training data.Simulation results show that the proposed approach has better identification efficiency performance than traditional pure MAC-layer approaches regardless of the number of tags.
RFID collision recovery cross layer
Yu Zeng Haifeng Wu Chuanxi Xing
School of Electrical and Information Technology,Yunnan University of Nationalities,650500 Kunming,Peoples Republic of China
国际会议
深圳
英文
231-235
2018-01-21（万方平台首次上网日期，不代表论文的发表时间）