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[ "崔英花(1973-),女,博士,北京信息科技大学副教授,主要研究方向为射频识别技术、标签防碰撞技术、无线通信技术。" ]
网络出版日期:2017-10,
纸质出版日期:2017-10-15
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崔英花. 一种新型的快速标签估计算法[J]. 电信科学, 2017,33(10):1-147.
Yinghua CUI. A novel fast tag number estimation algorithm[J]. Telecommunications science, 2017, 33(10): 1-147.
崔英花. 一种新型的快速标签估计算法[J]. 电信科学, 2017,33(10):1-147. DOI: 10.11959/j.issn.1000-0801.2017273.
Yinghua CUI. A novel fast tag number estimation algorithm[J]. Telecommunications science, 2017, 33(10): 1-147. DOI: 10.11959/j.issn.1000-0801.2017273.
标签估计是RFID系统中的关键技术之一。常规的标签估计算法通常要查询所有时隙的标签响应情况。在标签数量较大时会极大地增加通信负荷和时间损耗。提出一种快速标签估计算法,判断每一帧前 4 个时隙的标签碰撞情况,就可以对Q参数取值做快速调整,随后通过查询少量时隙就可以得到标签估计数目。仿真结果表明,与传统的标签估计算法相比,本文算法具有估计速度快、估计误差小等优点,非常适用于需要快速做出估计的场合。
Tag number estimation is one of the key technologies in radio frequency identification (RFID) system.The conventional estimation algorithms usually interrogate all time slots before estimating the tag quantity
which lead to large payload and time consumption.A rapid estimation algorithm was proposed.By judging the collision of the first 4 slots in each frame
the Q parameter values could be adjusted quickly
and then the number of tag estimates could be obtained by querying a small number of slots.Simulation results show that compared with the traditional tag estimation algorithm
the proposed algorithm has the advantages of fast estimation speed and small estimation error
and is very suitable for fast estimation.
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