基于RFID的边界虚拟参考标签改进算法

摘要

依据对室内定位算法的场景分析,在BVIRE算法的基础上,提出了一种室内定位的改进算法IMPRO_BVIRE.针对信号在无线信道中的衰减规律呈非线性,该算法采用一种非线性插值方法计算虚拟参考标签的RSSI值,在邻近参考标签的选择上采用小概率排除法,排除了小概率点对定位精度的影响,并通过取均值抵消了阴影带来信号的剧烈波动.仿真与实验结果表明,改进后的IMPRO BVIRE算法相比于BVIRE算法具有更低的定位误差.%According to the scene analysis of the indoor location algorithm,and on the basis of BVIRE algorithm,this paper proposed an improved algorithm called IMPRO_BVIRE. Against the non-linear attenuation law of the signal in the radio channel , IMPRO_BVIRE algorithm adopted a kind of non-linear interpolation method to calculate the RSSI values of virtual reference tags, adopting small probability of exclusion in the selection of the neighboring reference tags, which excluded the impact of the small probability point to positioning accuracy, and by averaging IMPRO_BVIRE algorithm could counteract the signal volatility caused by shadow. Simulation and experimental results show that IMPRO_BVIRE algorithm has lower positioning error.