基于最优贝叶斯算法的密集RFID网络迭代检测技术  

An Iterative Detection Technology for Dense RFID Networks Based on Optimal Bayes Algorithm

作　　者：朱娅[1] 周小林[1] 郑立荣[1] 

机构地区：[1]复旦大学

出　　处：《微型电脑应用》2016年第8期3-7,11,共6页Microcomputer Applications

基　　金：国家科技支撑计划项目(2015BAD17B00)

摘　　要：食品安全溯源体系正受到社会越来越多的关注,溯源大部分是通过射频辨识技术(RFID)完成的。仓储运输环节呈现密集RFID的环境,如何在这种密集环境中避免冲突地实现信息的准确读取是很关键的问题。提出了一种可降低干扰影响的迭代检测方案,使用最优贝叶斯交织多址迭代技术,在密集部署了多读卡器和多标签的环境中,能有效地改善区域内由于读卡器检测范围重叠干扰而对系统性能造成的不良影响。给出适用于被动RFID反向散射信道的最优贝叶斯迭代检测算法的计算过程与判决公式,通过Matlab仿真证明了该算法在不同调制方式下对提升系统性能均有良好表现。This paper proposes an iteration detection scheme which can effectively decline the impact, to avoid the adverse impact from radio frequency identification （RFID） collision under dense environment in the storage and transportation of traceability systems for food security. In the environment of multiple readers and multiple tags in a high density, by using optimal Bayes interleave division multiple access （IDMA） iterative technology, the adverse impact from overlapped readers can be effectively improved. The paper proposes computation process and decision formula of optimal Bayes iteration detection algorithm applied to passive RFID backscattering channel. Through computer simulation, it is proved that this algorithm behaved well in improve the performance of system under different modulation methods.

关 键 词：最优贝叶斯算法 射频识别(RFID) 交织多址技术 

分 类 号：TN92[电子电信—通信与信息系统]