基于多频点相位距离 / 角度联合估计的 RFID 室内定位算法

为了解决现有射频识别(RFID)定位方法定位精度差,定位耗时长的问题,提出了一种基于多频点相位距离/ 角度联合 估计的 RFID 室内多目标定位算法。 利用跳频技术获取 RFID 标签多频点相位信息,通过多频点相位解决整周模糊度问题,获 取目标粗估计距离。 进而使用粒子群优化算法完成多目标位置并行检索,同时融合多重信号分类算法思想抑制噪声和多径干 扰,进一步优化定位结果。 通过实测验证,所提算法可实现多目标并行定位,且定位的中位数误差达 8. 56 cm,定位耗时比传统 双曲线定位算法减少了 58. 8% 。

RFID indoor localization algorithm based on joint range / angle estimation of multi-frequency point phase

The existing radio frequency identification positioning methods have problems of poor positioning accuracy and long positioning time. To address these issues, an RFID indoor multi-target positioning algorithm based on joint range / angle estimation of multi-frequency point phase is proposed. The frequency-hopping technique is employed to obtain multi-frequency phases, which is used to solve the integer ambiguity problem to acquire the rough range estimation of targets. Then, the particle swarm optimization algorithm is used to complete parallel retrieval of the multi-targets location. Meanwhile, the idea of a multiple signal classification algorithm is used to reduce noise and multipath interference to further improve the localization results. Experimental results show that the proposed algorithm can achieve multi-target parallel positioning, and the median error of positioning is 8. 56 cm. Compared with the traditional hyperbolic localization algorithm, the localization time is reduced by 58. 8% .