基于克里金插值的自适应VIRE室内定位算法研究

摘要

In traditional VIRE algorithm, the linear interpolation is used to estimate the relationship between RSSI and distance, which increases the positioning error. And the threshold is a fixed value obtained by many experiments, which results in the complicated algorithm. Therefore, an adaptive VIRE algorithm based on Kriging interpolation is proposed. Firstly, the Kriging interpolation method is used to estimate the RSSI of virtual tags. Secondly, the adaptive threshold adjustment strategy is proposed to automatically adjust the threshold according to the real-time characteristics of the track-ing tags, so that the number of proximity tags close to the optimal. The experimental results show that the new algorithm not only saves the costs, but improves the positioning accuracy.%VIRE算法在虚拟标签计算上往往采用线性插值方法计算RSSI与距离的关系,易导致误差增大,并且需要通过反复调整实验获得的标签消除阈值为固定值,增加了定位的时间复杂性,针对这两点问题提出一种基于克里金插值的自适应VIRE室内定位算法.利用克里金插值估计虚拟标签的RSSI值,并根据待定位标签的实时特点自动调整阈值,使邻近标签数量接近最优,更准确地排除干扰,从而获得定位坐标.实验对比结果表明,该算法不仅节约定位成本,而且提高了定位精度.