流水线型局部加权回归RFID室内定位

摘要

射频识别技术（radio frequency identiifcation, RFID）以其非接触、非视距、低成本及高精度等优点成为室内定位技术的研究热点.为了加强信号稳定性并提高实时性，该文用流水线方式接收到的包信息作为定位信号参数，针对室内环境对信号传播影响的复杂性，提出了流水线型局部加权回归定位算法，将室内环境对信号传播到各位置的影响融合进算法，以实现精确定位.实验表明，对于室内定位，所提出的基于RFID技术的流水线型局部加权回归定位算法相对于经典的LANDMARK算法和VIRE算法，定位精度分别提高56.56%和36.73%.在多目标的情况下，也可以实现实时精确的定位跟踪，具有良好的实用价值和应用前景.%Radio frequency identiifcation (RFID) is a hot research topic for indoor positioning because it is non-contact and non-line-of-sight with low-cost and high-precision. This paper proposes to use the pipelined packet reception rate as the positioning parameters to enhance stability and improve real-time performance. To deal with the indoor environmental impact on the signal propagation, the pipelined positioning algorithm uses locally weighted regression, which takes full advantage of the indoor environment information to achieve precise positioning. Experimental results show that, for indoor applications, the proposed algorithm increases the positioning accuracy by 56.56% compared with LANDMARK and by 36.73% compared with VIRE. The method can also obtain precise real-time tracking results for multiple targets, showing its practical value and wide range of applications.