基于比特估计的RFID标签数量估计算法

为了进一步提高稠密标签环境中标签估计算法的精度,在分析比较传统的基于比特标签估计算法的基础上,提出一种比特估计的优化算法。首先,基于二项分布理论,利用未被选择比特位的观测值计算空闲比特率;然后,通过确定空闲比特率的阈值,建立稠密标签环境中的标签数量估计模型;最后,推导出标签数量估计值与时隙消耗的数学表达式。仿真结果表明,改进算法的标签估计精度要优于传统的基于比特标签估计的精度,且对于不同规模的标签群,改进算法具有稳定的估计性能。

A RFID tag number estimation algorithm based on bit estimation

In order to further improve the accuracy of the tag number estimation algorithms in dense tags environment, based on the analysis and comparison of the traditional bit estimation algorithms, a novel optimized bit estimation algorithm is proposed. Firstly, based on the binomial distribution theory, the observation of non-selected bits is used to calculate the idle bit rate. Then, a tag number estimation model in dense tags environment is established by determining the threshold of idle bit rate. Finally, the mathematical expression of the relationship between the estimated tag number and the slot consumption is derived. The simulation results show that the proposed algorithm has better estimation accuracy than the traditional bit estimation algorithms and is stable under different numbers of tags.