RFID Tag-equipped Drone for Antenna Array-based Localization: A Step-by-Step MATLAB Simulation Tutorial

A.A. Abdul Aziz, Muhammad Miftahul Amri
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Abstract

In the last decades, Radio Frequency Identifiers (RFID) has gained massive popularity.In the last decades, Radio Frequency Identifiers (RFID) have gained massive popularity. RFID technology allows data to be encoded in a small form (tag). The data contained inside the RFID tag can be captured wirelessly by the RFID reader through electromagnetic (EM) waves. On the other hand, localization techniques have achieved significant developments in the last decade. There is a wide range of localization tool variations, including satellite-based localization (i.e., GPSS, GLONASS), Bluetooth Low Energy (BLE), IMU, camera, infrared sensor, and even RF-based localization. In this work, we present an accurate localization technique via battery-less passive RFID tag-UAV integration. We have employed two low-complexity methods: generalized cross-correlation with phase transformation (GCC-PHAT) algorithm and triangulation technique. By simulation, we have validated that an accurate antenna array-based dynamic localization can be realized. For the sake of simplicity, we only demonstrate two-dimensional movement. However, the identical method can also be used in the three-dimensional movement. While this paper considers only two antenna arrays and one RFID tag, the proposed concept can be expanded to a more extensive system with a larger number of antenna arrays and RFID tags.
RFID标签装备无人机天线阵列为基础的定位:一步一步的MATLAB仿真教程
在过去的几十年里,射频识别(RFID)已经获得了巨大的普及。在过去的几十年里,射频识别(RFID)已经获得了巨大的普及。RFID技术允许将数据编码在一个小形式(标签)中。RFID标签内包含的数据可以通过RFID阅读器通过电磁波无线捕获。另一方面,本地化技术在过去十年中取得了重大发展。定位工具种类繁多,包括基于卫星的定位(即GPSS、GLONASS)、低功耗蓝牙(BLE)、IMU、相机、红外传感器,甚至基于射频的定位。在这项工作中,我们提出了一种通过无电池无源RFID标签与无人机集成的精确定位技术。我们采用了两种低复杂度的方法:广义相位互相关(GCC-PHAT)算法和三角测量技术。通过仿真验证,可以实现基于天线阵的精确动态定位。为简单起见,我们只演示二维运动。然而,同样的方法也可以用于三维运动。虽然本文只考虑了两个天线阵列和一个RFID标签,但所提出的概念可以扩展到具有更多天线阵列和RFID标签的更广泛的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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