为移动机器人定位rfid标签对象

Dianhan Xie, Xudong Wang, Aimin Tang, Hongzi Zhu
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引用次数: 3

摘要

在许多物联网(IoT)应用中,各种带有rfid标签的物体需要由移动机器人进行定位。现有的RFID定位系统是不可行的,因为它们要么需要庞大的RFID基础设施,要么无法达到足够的定位精度。本文开发了一种便携式定位系统,用于移动机器人对带有rfid标签的物体进行定位。除了机载的单个RFID读取器外,POLO还具有标签阵列和轻量级接收器。该标签阵列旨在将来自物体的RFID信号反射成多路径信号。接收器捕获这些信号并通过标签阵列辅助信道估计(TCE)机制估计它们的多径信道系数。通过空间平滑方向估计(SSDE)算法进一步利用这些通道系数来确定目标的方向。POLO根据物体的方向引导机器人接近物体。当目标靠近时,最终通过近距离定位(NRP)算法确定其二维位置。POLO的原型和评估通过广泛的实验。结果表明:目标在远距离(2~6 m)时的平均角误差在1.6°以内,目标在近距离(~1 m)时的平均定位误差在5 cm以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
POLO: Localizing RFID-Tagged Objects for Mobile Robots
In many Internet-of-Things (IoT) applications, various RFID-tagged objects need to be localized by mobile robots. Existing RFID localization systems are infeasible, since they either demand bulky RFID infrastructures or cannot achieve sufficient localization accuracy. In this paper, a portable localization (POLO) system is developed for a mobile robot to locate RFID-tagged objects. Besides a single RFID reader on board, POLO is distinguished with a tag array and a lightweight receiver. The tag array is designed to reflect the RFID signal from an object into multi-path signals. The receiver captures such signals and estimates their multi-path channel coefficients by a tag-array-assisted channel estimation (TCE) mechanism. Such channel coefficients are further exploited to determine the object’s direction by a spatial smoothing direction estimation (SSDE) algorithm. Based on the object’s direction, POLO guides the robot to approach the object. When the object is in proximity, its 2D location is finally determined by a near-range positioning (NRP) algorithm. POLO is prototyped and evaluated via extensive experiments. Results show that the average angular error is within 1.6 degrees when the object is in the far-range (2~6 m), and the average location error is within 5 cm while the object is in the near-range (~1 m).
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