煤矿井下人员定位系统的防碰撞算法研究

Research of anti-collision algorithm in underground mine personnel tracking system

为了防止井下人员定位系统中多个射频标签同时向阅读器发送识别信息时产生的碰撞问题,提出了一种基于分组思想的时隙ALOHA算法。该算法是在待识别的大量标签中随机选择一部分进行读取,使碰撞概率大大降低。计算机仿真表明,该算法可以有效解决多目标识别的防碰撞问题。

In order to avoid signal collision occurs when more than one tag send the recognition information to the reader with function of personnel tracking system in mine,slotted ALOHA algorithm based on the idea of grouping is proposed.In this algorithm,the reader selects partial tags among the waiting tags to read,so the probability of collision reduces grately.The results of simulation proves that this algorithm can resolve the problem of collision of many tags.