基于跳时子时隙早期估计的Rfid防碰撞新技术

Frahtia Abderrahmene, Benssalah Mustapha, Kifouche Abdenour
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引用次数: 0

摘要

标签碰撞是射频识别(RFID)中最值得关注的问题之一,它影响了系统的效率并限制了该技术的快速部署。提出了一种基于跳时子槽早期估计技术的高效防碰撞方法。相应的抗碰撞算法被称为跳时子时隙估计动态框架时隙Aloha (sse - dfsa)。在sse - dfsa中,阅读器提出一个初始帧,分为N个亚纳秒槽,标签可以随机选择一个子槽作为他们的第一个脉冲响应,随后用于估计标签的数量。事实上,在现有的许多DFSA算法中引入跳时估计机制,在系统效率和识别系统所有标签所需的分配识别时间方面都有了显著的提高。仿真结果表明,与卷积DFSA算法相比,tse -DFSA算法具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Rfid Anti-Collision Technique Based On Time-Hopping Sub Slots Early Estimation
Tag collision is one of the most noteworthy issues of Radio frequency Identification (RFID) that affect the system efficiency and limit the fast redeployment of this technology. In this paper, a new efficient anti-collision method based on time-hopping sub-slots early estimation technique is proposed. The corresponding anti-collision algorithm is dubbed time-hopping sub-slots estimation Dynamic Framed Slotted Aloha (THSE-DFSA). In THSE-DFSA, the reader proposes an initial frame divided into N sub-nanosecond slots, where tags can randomly choose one sub-slot as theirs fist pulse response to be used subsequently for the estimation of the number of tags. In fact, the introduced time hopping estimation mechanism into numerous existing DFSA algorithms showed significant improvements in terms of system efficiency and the allocated identification time needed to identify all tags of the system. Simulation results show superior THSE-DFSA performance versus convolutional DFSA algorithms.
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