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一种井下RFID定位系统的读卡器防碰撞算法
引用本文:胡圣波,郑志平.一种井下RFID定位系统的读卡器防碰撞算法[J].工矿自动化,2006(2):4-7.
作者姓名:胡圣波  郑志平
作者单位:1. 重庆大学自动化学院,重庆,400045
2. 贵州师范大学教育学院,贵州,贵阳,550001
摘    要:随着技术的进步,RFID(射频识别)已在煤矿井下的动目标定位中得到了应用。由于频率资源有限,读卡器之间往往存在频率干扰,将导致RFID定位系统出现读卡器碰撞的问题。文章分析了读卡器碰撞的两种情形,提出了基于Q学习的仿碰撞算法,并进行了仿真测试。测试结果表明,读卡器碰撞问题得到了有效的控制,该防碰撞算法是有效、可行的。

关 键 词:矿井  动目标定位  射频识别  读卡器  Q学习  防碰撞算法
文章编号:1671-251X(2006)02-0004-04
收稿时间:2005-12-23
修稿时间:2005年12月23

An Algorithm of Anti-collision between Readers of RFID Positioning System of Coal Mine Underground
HU Sheng-bo,ZHEN Zhi-ping.An Algorithm of Anti-collision between Readers of RFID Positioning System of Coal Mine Underground[J].Industry and Automation,2006(2):4-7.
Authors:HU Sheng-bo  ZHEN Zhi-ping
Affiliation:1. College of Automation of Chongqing University, Chongqing 400045, China. 2. College of Education of Guizhou Normal University, Guiyang 550001, China
Abstract:With the development of RFID technology,it has been applied in positioning system of(moving) object of coal mine underground.Because of the frequencies'limit, the interference between readers caused readers'collision problem.Readers'collision problem was analyzed and an anti-collision algorithm based on Q-learning was presented out in the paper.The simulation result showed that readers'collision problem could be solved evidently,and the algorithm is effective and feasible.
Keywords:mine  positioning of moving object  RFID  reader  Q-learning  anti-collision algorithm
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