捕获效应下的RFID标签防碰撞算法

Research on the Capture Effect for RFID Tag Anti-collision Algorithm

在被动式射频识别(radio frequency identification,RFID)系统中,标签的反射功率会受到路径损耗的影响,产生捕获效应现象。捕获效应会导致高功率标签优先识别而低功率标签漏读的问题,严重影响系统识别率。对此,提出一种捕获效应标签分组(capture effect optimization grouping,CEOG)防碰撞算法。新算法从捕获效应对系统的影响出发,结合切比雪夫标签估计算法,准确估计带识别标签数和捕获效应发生概率,然后采用捕获效应优先级分组方法对标签进行动态分组处理。通过理论研究和仿真分析,CEOG算法能够使系统的吞吐量达到60%以上。

In the passive RFID （radio frequency identification ） system, the backscatter powers of tags is affected by the path loss and causes the capture effect. The capture effect reduce the efficiency of identification. In this paper, we propose an improved tags optimization grouping （CEOG）. We research the captures effect of sys will make some tags be hidden and anti-collision algorithm capture effect tern, use Chebyshev to estimate the number of tags and the probability of capture, and the tags are grouped by the capture effect optimization grouping. By the theory analysis and simulations, the CEOG can make the system throughput exceed 60%.