一种基于粒子群的RFID定位算法的研究

Research of a RFID Positioning Algorithm Based on Particle Swarm

室内定位算法存在精度低,额外开销大等缺点,本文在VIRE算法的基础上提出一种基于粒子群算法的RFID技术。本文首先采用改进阀值的小波算法对读取的信号进行去噪处理,减少信号强度值上下波动产生的误差;然后采用加权定位来提高虚拟标签的定位精度;最后采用粒子群算法找出虚拟标签的最优解,仿真实验表明本文的算法可以有效地提高定位精度,降低耗时。

Indoor positioning algorithm has shortcomings like low accuracy and huge extra expenditure,thus this paper proposes the RFID technology based on particle swarm algorithm. Firstly, this paper used wavelet algorithm with improved threshold value to denoise signals that have been read so as to reduce errors caused by the fluctuation of signal strength; then, it used weighted positioning to improve the positioning accuracy of virtual labels; finally, it used particle swarm algorithm to find out the optimal solution of virtual label. Simulation experiment shows that algorithm in this paper can effectively improve the positioning accuracy and reduce time-consuming.