自适应RFID室内定位算法研究

Study on Adaptive RFID Indoor Location Algorithm

在卫星信号定位优化问题的研究中,在传统的基于场强的射频识别(Radio-Frequency Identification,RFID)室内定位算法中,信号传播模型中路径损耗系数采用经验值,且在同一环境中视为常数。而由于室内环境复杂多变,传统导致算法对环境中的障碍十分敏感,定位精度较差。针对上述问题,提出了一种新型自适应定位算法,通过引入控制论思想中的反馈机制,将自适应控制策略与定位方法巧妙结合,用参考标签的实际坐标和定位坐标之差作为控制器的反馈信号,即时进行路径损耗系数的调整,从而使信号模型自动适应环境变化。经过对改进算法进行多次仿真,验证了算法的有效性,在不增加系统开销的前提下提高了定位精度及环境适应能力。

In traditional RFID indoor location algorithms based on RSSI, path loss coefficient is usually empirically and regarded as constant in a same environment. As indoor environment is usually complex, it leads to algorithms very sensitive to obstacles in the environment and poor positioning accuracy. In response to the above problems, this paper proposes a novel adaptive RFID location algorithm, it introduces feedback mechanism of cybernetic and com- bines adaptive control strategy and location method together. This algorithm calculates the difference between real po- sition and location position of reference tag as feedback signal, and adjusts the path loss coefficient immediately. Then the signal model can automatically adapt to environmental changes. Without increasing system cost, the proposed algorithm can improve the location accuracy and environmental adaptability.