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煤矿定位标签时分避漏算法研究

Research on TDLA Algorithms for Locating Tags in Coal Mine
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摘要 结合煤矿移动目标定位管理系统的基本要求和有源RFID标签的工作特点,分析参考多发筛漏、时分多址和时隙ALOHA算法,提出了利用标签ID的唯一性来划分时隙的"时分避漏"算法,推导了其漏读率的数学公式,与多发筛漏法进行比较,表明该算法可以有效地降低甚至避免漏读。 Combined with the basic requirements of coal mine management system for locating of moving target and work characteristics of active RFID tags, referring Continuous Transmission to Screen Leak Reading (CTSLR) algorithm, Time Division Multiple Access (TDMA) algorithm and slotted ALOHA algorithm, the "TDLA" algorithm (Time Division to Leakage Avoiding) using the uniqueness of ID tags for slicing time cluster, as well as formulation of leaking rate are proposed. Compared with CTSLR algorithm, it is showed that the algorithm can effectively reduce or even avoid leakage reading.
出处 《煤矿安全》 CAS 北大核心 2012年第8期45-47,共3页 Safety in Coal Mines
关键词 RFID 标签 时间片 多发筛漏 人员定位 RFID tag time slicing continuous transmission to screen leak reading personnel positioning
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