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Receiver Design of Passive UHF RFID Sensor Platform for Gas Identification

机译:用于气体识别的无源UHF RFID传感器平台的接收器设计

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The concept of passive Radio Frequency Identification (RFID) sensor tag is introduced to remove the dependency of current RFID platforms on battery life. In this paper, a reader for passive RFID sensor tag is presented along with the processing unit. The RFID system is compliant to Electronics Product Code Generation 2 (EPC-Gen2) protocol in 902-928 MHz ISM band. Whereas the processing unit is implemented and analyzed in software and hardware platforms. The software platform uses MATLAB, whereas a High Level Synthesis (HLS) tool is used to implement the processing unit on a Zynq platform. Moreover, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based feature reduction approaches are analyzed in detail for efficient classification of gas data. It is found that 90% gases are identified using first three principal components, which is 7% more efficient than LDA. While in hardware, LDA requires 50% less Look-Up Tables than PCA. The RFID tag used for transmission is implemented in 0.13 μm CMOS process, with simulated average power consumption is 2.6 μW from 1.2 V supply. ThingMagic M6e embedded reader is used for RFID platform implementation. It shows an output power of 31.5 dBm which allows a read range of 9 meter.
机译:引入了无源射频识别(RFID)传感器标签的概念,以消除电流RFID平台对电池寿命的依赖性。在本文中,与处理单元一起呈现被动RFID传感器标签的读取器。 RFID系统符合902-928 MHz ISM频段的电子产品代码2(EPC-GEN2)协议。而处理单元在软件和硬件平台中实现和分析。软件平台使用MATLAB,而高级合成(HLS)工具用于在Zynq平台上实现处理单元。此外,详细分析了基于主成分分析(PCA)和基于线性判别分析(LDA)的特征降低方法,以便有效地分类气体数据。发现使用前三个主成分鉴定了90%的气体,其比LDA更有效7%。在硬件中,LDA需要比PCA更少的查找表。用于传输的RFID标签在0.13μmCMOS过程中实现,模拟平均功耗从1.2 V电源的2.6μW。 ThingMagic M6E嵌入式阅读器用于RFID平台实现。它显示了31.5 dBm的输出功率,允许读取范围为9米。

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