射频识别的随机模型及参数分析  

Stochastic model and parameters analysis of radio frequency identification

作　　者：闫新庆[1] 尹周平[1] 熊有伦[1] 

机构地区：[1]华中科技大学数字制造装备与技术国家重点实验室,湖北武汉430074

出　　处：《华中科技大学学报（自然科学版）》2009年第1期96-99,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家高技术研究发展计划资助项目(2006AA04A110);国家重点基础研究发展计划资助项目(2003CB716207);国家自然科学基金杰出青年基金资助项目(50625516)

摘　　要：为提高影响射频识别系统广泛应用的关键因素之一——多标签识别的识别效率和可靠性,基于二项分布随机过程,建立了射频标签识别时隙ALOHA协议的马尔可夫随机模型,给出了其求解方法和过程,讨论了依据时隙占用情况进行标签数量估计的方法,建立了标签数量、时隙数量和识别吞吐率、识别效率之间的数学关系,分析和得出了识别不同数量标签时帧中最佳时隙数量的选择.通过数字仿真,验证了所建立马尔科夫随机模型和理论分析的正确性,并得出了一些有益的结论.A key issue affecing the proliferation application of the RFID （radio frequency identification） system is the efficient and reliable identification of multiple RFID tags. Based on the binomial distribution model, a Markov chain for frame slotted ALOHA based RFID tag collision resolution is established and the transfer equation of the Markov chain is presented. Several estimation methods for the RFID tags population according to the different occupying scenarios of slot in an identification frame were discussed. The relationship between the tag population, frame size, throughput and identification efficiency of the frame slotted ALOHA the Markov chain model established and the drawn. based protocol was analyzed. theoretic analysis presented. Numeric simulation verifies Sme useful conclusions are drawn.

关 键 词：射频识别 随机模型 参数分析 冲突消解 二项分布 马尔可夫链 

分 类 号：TN92[电子电信—通信与信息系统]