一种基于契合度模型的室内定位方法

An Indoor Localization Method Based on Fit Model

传统基于接收信号强度指示(RSSI)的室内定位方法存在定位精度低、硬件要求高、算法复杂等不足。为此,基于契合度模型,给出一种室内定位方法。该方法由低成本的射频读卡器采集RSSI数据,经过低复杂度的滤波处理,通过距离损耗模型以及契合度定位模型实现信号定位。Matlab仿真分析结果表明,所有定位目标位置的平均定位误差在50 cm之内,70%定位目标位置的平均定位误差不大于15 cm,适用于实际室内定位环境。

The traditional indoor localization method based on Received Signal Strength Indication（ RSSI） has many drawbacks,such as lowlocalization accuracy,high hardware requirements,and complex algorithms. To resolve this problem,an indoor localization method based on fit model is proposed. The RSSI data are collected by low-cost Radio Frequency（ RF） readers,and processed by low-complexity filter. Localization is then achieved by the distance loss model and the algorithm of fit model. In the actual indoor environment,Matlab simulation analysis results showthat the average position error of all positioned targets is under 50 cm,and the average position error of 70% of the positioned targets is no more than 15 cm. This indicates that the proposed method can be applied to the actual indoor location environment.