捕获效应下的标签估计算法

摘要:

传统的标签估计通常要统计标签和阅读器通信中的碰撞时隙和单标签时隙的个数.然而在实际通信过程中,由于捕获效应的存在,较强信号通常会抑制掉较弱信号.这就造成了实际统计情况与事实不符的现象,进而影响标签的正确估计.由于空时隙中没有标签响应,采用统计空时隙数进行标签估计不受捕获效应影响.仿真结果表明,统计空时隙的标签估计算法在捕获效应情况下,估计精度没有变化,同时对帧时隙大小不敏感,优于其他基于统计单标签时隙数和碰撞时隙数来进行标签估计的算法.

The conventional tag number estimation algorithms usually count the number of the single tag slots and colli-sion slots during the interrogation between the reader and tags.But the capture effect,which means the complete suppression of a weak signal in presence of a strong signal at the receiver, leads to incorrect counting results. It impacts the accuracy of the tag number estimation. Tag number estimation algorithm by counting the empty slots is not influenced by the capture effect be-cause there is no tag responds in the empty slots. The simulation results show that the method based on counting the empty slots is not affected by the capture effect,which is also not sensitive to the frame size of the slots, and outperforms other algo-rithms based on counting single tag and collision slots.

作者:

崔英花

机构地区:

北京信息科技大学信息与通信工程学院

出处:

《betway官方app 学报：自然科学版》 CAS 北大核心 2017年第6期107-111,共5页

基金:

国家自然科学基金(61340005) 北京市自然科学基金资助项目(4132012) 北京市教委科技发展计划资助项目(KM201411232011) 北京市优秀人才培养资助D类项目(5211524100)

关键词:

射频识别 标签估计 捕获效应

radio frequency identification tag estimation capture effect

分类号:

TN914 [电子电信—通信与信息系统]

捕获效应下的标签估计算法.pdf