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A novel adaptive spectrum scanning technique for reducing the identification time of the UWB chipless RFID system

机译:一种减少UWB无芯片RFID系统识别时间的新型自适应频谱扫描技术

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The main objective of this contribution is to introduce a novel technique for reducing the time taken from the reader to identify the Frequency Coded (FC) chipless RFID tags existed in the reader's interrogation region, system latency. The frequency scanning methodology, number of averaging for clutter removal and hop duration are the three main parameters that significantly affect the overall system latency. Consequently, the Adaptive Frequency Hopping (AFH) methodology is proposed and proofed to be efficient for the chipless RFID systems from the latency and accuracy perspectives. Likewise, the performance of the designed AFH technique is compared with the classical Fixed Frequency Hopping (FFH) methodology with a fine frequency step to validate the accuracy of the proposed technique. A real-world testbed is designed including a Software Defined Radio (SDR) platform by which the proposed adaptive algorithm and classical FFH methodology are implemented. All the measurements are performed in an indoor realized scenario, including the environmental effects. The experiments show that the proposed AFH algorithm significantly reduce the system latency by 58%.
机译:这项贡献的主要目的是介绍一种新颖的技术,以减少读取器识别读取器询问区域中存在的频率编码(FC)无芯片RFID标签所花费的时间,即系统等待时间。频率扫描方法,去除杂波的平均次数和跳数持续时间是三个主要影响整个系统延迟的主要参数。因此,提出了自适应跳频(AFH)方法,并从等待时间和准确性的角度证明了该方法对于无芯片RFID系统是有效的。同样,将设计的AFH技术的性能与经典的固定跳频(FFH)方法进行比较,并采用精细的频率步进,以验证所提出技术的准确性。设计了一个包含软件定义无线电(SDR)平台的实际测试平台,通过该平台可以实现所提出的自适应算法和经典FFH方法。所有测量均在室内实际场景中进行,包括环境影响。实验表明,提出的AFH算法可以将系统等待时间大大减少58%。

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