Reducing Tracking Error in RFID Real-Time Localization Systems Using Kalman Filters
Reducing Tracking Error in RFID Real-Time Localization Systems Using Kalman Filters
复制标题
使用卡尔曼滤波器减少 RFID 实时定位系统中的跟踪误差
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
A. Akanmu
中科院分区：
文献类型：
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作者：
Benjamin Sanda;I. Abdel;A. Akanmu
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。以这种方式使用RFID技术的努力由于这些环境固有的噪声和多径效应而经历定位错误。本文介绍了线性卡尔曼滤波器和非线性Unscented卡尔曼滤波器的使用，以降低实时RFID定位系统固有的错误率，并在室内环境中提供更准确的定位结果。本文采用了一种为建筑行业设计的商用RFID定位系统，并开发了一种基于三阶运动的滤波模型。过滤模型用真实世界的数据进行了测试，结果表明，当应用于原始到达时间测量和最终定位结果时，可以提高定位精度。
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 in this way experience localization errors due to noise and multipath effects inherent to these environments. This paper presents the use of both linear Kalman filters and non-linear Unscented Kalman filters to reduce the error rate 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 filtering model based on 3rd order motion is developed. The filtering model is tested with real-world data and shown to provide an increase in localization accuracy when applied to both raw time of arrival measurements as well as final localization results.