Kalman filters for reducing error in RFID real-time localization systems

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI:10.1109/EIT.2014.6871785

Benjamin Sanda, I. Abdel-Qader, A. Akanmu

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引用次数: 3

Abstract

The use of Radio Frequency Identification (RFID) has become widespread in industry as a means to quickly and wirelessly identify and track packages and equipment. Now there is a commercial interest in using RFID to provide real-time localization. Efforts to use RFID technology for this purpose experience localization errors due to noise and non-line-of-sight effects inherent to these environments. This paper presents the use of both linear and non-linear Kalman filters to reduce error effects inherent to real-time RFID localization systems and provide more accurate localization results in indoor environments. A commercial RFID localization system designed for use by the construction industry is used in this work, and a mathematical model and approach are developed. The model is tested with real-world data and shown to provide an increase in localization accuracy when applied to both raw distance difference of arrival measurements as well as final trilateration results.

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用于减少RFID实时定位系统误差的卡尔曼滤波器

无线射频识别(RFID)作为一种快速无线识别和跟踪包裹和设备的手段，在工业中已经广泛使用。现在，使用RFID提供实时定位有了商业上的兴趣。为此目的使用RFID技术的努力由于这些环境固有的噪声和非视线效应而经历定位错误。本文介绍了线性和非线性卡尔曼滤波器的使用，以减少实时RFID定位系统固有的误差影响，并在室内环境中提供更准确的定位结果。在这项工作中使用了为建筑行业设计的商用RFID定位系统，并开发了数学模型和方法。该模型用实际数据进行了测试，结果表明，当应用于到达测量的原始距离差和最终三边测量结果时，该模型可以提高定位精度。

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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IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology

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