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。
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 algo- rithm 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.
出处
《工矿自动化》
北大核心
2006年第2期4-7,共4页
Journal Of Mine Automation
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
mine, positioning of moving object, RFID, reader, Q-learning, anti-collision algorithm
