RFID室内定位算法的研究与改进

Research and improvement of RFID positioning algorithm

首先对低成本、高精度的VIRE算法进行简单的介绍,并对算法中的小概率位置排除法进行分析,发现仍可能出现离目标标签比较远的"邻近区域"的问题,进而提出了一种在小概率位置排除法之后,添加半径阀值进行优化的方法,来降低参考标签之间的信号干扰以及多径效应带来的影响,从而减少邻近区域过多的情况。仿真结果表明,相比于VIRE算法,通过增加半径阀值优化后,算法在室内定位精度上有了进一步提升。

Firstly,the low-cost and high-precision VIRE algorithm is introduced briefly,and a small probability position elimination method in algorithm is analyzed,and then the ＂ neighborhood＂ problem that possibly exists relatively far away from the target is found out. After proposing a method that adds radius threshold optimization after small probability position elimination method in order to optimize the VIRE algorithm,and reduces the signal interference among the reference tags and caused by multipath,thus the excessive adjacent area could be reduced. The simulation results show that the indoor positioning accuracy has been further improved by increasing the radius threshold to optimize the algorithm when comparing with VIRE algorithm.