UHF RFID动态多标签识别防碰撞算法研究

项目名称： UHF RFID动态多标签识别防碰撞算法研究

项目编号： No.61471306

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 贾小林

作者单位： 西南科技大学

项目金额： 80万元

中文摘要： 防碰撞算法是UHF RFID空中接口的三大支撑技术之一，也是UHF RFID标准体制的三大技术瓶颈之一，已经成为RFID多标签识别研究的核心关键技术。本项目主要针对UHF RFID系统中的动态多标签识别技术及防碰撞算法进行研究。在前期研究中，我们已经提出了碰撞树算法（CT），建立了基于碰撞树的RFID多标签识别防碰撞算法分支体系，为后续研究奠定了坚实的基础。CT算法首次将RFID多标签识别效率提高到50%以上。由于其识别性能高效稳定，控制实施简单直接，CT算法能够作为现行国际标准中使用的防碰撞算法的替代算法。本项目在前期研究工作基础上，主要研究UHF RFID动态多标签识别过程中的并行识别、通信同步、捕获效应、信号漂移，以及碰撞和防碰撞问题，建立高效的防碰撞算法，解决UHF RFID系统中标签碰撞问题，进一步提高多标签识别效率和系统性能。

中文关键词： RFID；标签识别；防碰撞算法；标签碰撞

英文摘要： Anti-collision algorithm is one of the three supporting technologies in the air interface of UHF RFID system, and is also one of the three bottleneck technologies in the standard system of UHF RFID, and has been the pivotal and primary technology in the studying of RFID tags identification. This project mainly focuses on the technologies of dynimic tags identification in UHF RFID system and the anti-collision algorithm for it. In previous study, we have proposed the collision tree algorithm (CT), and established a new branch of anti-collision algorithms for RFID tags identification based on the collision tree, and laid a solid foundation for further study including this project.CT algorithm improves the RFID tag identification efficiency up to 50% for the first time. As a stable, simple, straightforward anti-collision algorithm with high performance, CT algorithm could be used as a replacement algorithm of the anti-collision algorithms used in the international standards at present. This project will study on the the parallel identification, synchronous communication, capture effect, signal drift, and collision and anti-collision problem in the dynimic UHF RFID tags identificaiton and put forward efficient anti-collision algorithms based on the previous works, to solve the tag collision problem in UHF RFID system and improve the tag identification efficiency and the performance of UHF RFID system effectively.

英文关键词： Radio frequency identification;tag identification;anti-collision algorithm;tag collision