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Novel RFID-Based Pose Estimation Using Single Stationary Antenna

机译:基于单站天线的基于RFID的新型姿态估计

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摘要

In this paper, we propose a novel radio-frequency identification (RFID)-based methodology that can estimate the position and orientation of an object. Unlike other RFID-based localization systems, the proposed method employs a single nonsteered stationary antenna and three passive tags mounted on each object. Our scheme is based on power map matching algorithm that is capable in estimating the location and orientation of objects. Unlike conventional power map matching schemes, which create the map from actual measurements, the proposed power map is automatically generated based on a simple mathematical model. The application under consideration is based on two-dimensional (2-D) open spatial environment where the area of each object is no less than a quarter of a square meter with position estimation errors stretching to tens of centimeters. This work provides an alternative and relatively cheap approach for remotely estimating the pose of an object. As a proof of concept, we justify our scheme analytically and provide numerical and experimental data to substantiate the feasibility of our methodology.
机译:在本文中,我们提出了一种新颖的基于射频识别(RFID)的方法,该方法可以估计物体的位置和方向。与其他基于RFID的定位系统不同,该方法采用单个非转向固定天线和三个安装在每个对象上的无源标签。我们的方案基于功率图匹配算法,该算法能够估计物体的位置和方向。与传统的功率图匹配方案不同,传统的功率图匹配方案是根据实际测量结果创建的,而建议的功率图则是基于简单的数学模型自动生成的。所考虑的应用基于二维(2-D)开放空间环境,其中每个对象的面积不少于四分之一平方米,而位置估计误差会扩展到数十厘米。这项工作为远程估计物体的姿态提供了一种替代且相对便宜的方法。作为概念的证明,我们通过分析证明我们的方案是正确的,并提供数值和实验数据来证实我们方法论的可行性。

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