基于有源RFID射频信号强度模式识别的定位技术

R. Mateo, Insook Yoon, Jaewan Lee
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引用次数: 2

摘要

RFID技术被各个应用领域用来实现智能数据处理和无处不在的系统。在目前的停车系统研究中,利用有源rfid技术实现高效、准确的定位技术并没有得到充分的考虑。提出了一种基于射频信号强度模式识别的有源RFID定位技术。有源射频识别通过向接收传感器发送信号被汽车用于识别。提出了一种基于多层感知器的模式识别方法,利用无线电信号的模式来处理精确定位技术。该程序提供了接收信号强度(RSS)模式的训练模型,能够对信号进行分类并确定准确的时隙。利用泊车模拟器平台,将该方法与其他算法进行比较,发现MLP分类器更准确,建立分类模型的速度更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Location Technique based on Pattern Recognition of Radio Signal Strength using Active RFID
RFID technology is used by various application areas to implement smart data processing and ubiquitous system. In the recent research of parking system, implementing efficient and accurate location technique using active RFIDs are not considered. This paper proposes a location technique based on pattern recognition of radio signal strength using active RFID. Active RFID is used by cars for identification by sending signals to receiving sensors. The proposed pattern recognition based on multilayer perceptron (MLP) uses the pattern of radio signal to process accurate location technique. The procedure provides a training model for received signal strength (RSS) patterns in able to classify the signals and determine the exact slot. A parking simulator platform is used and compared the proposed method to other algorithms and found that MLP is more accurate classifier and faster in building the classification model.
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