Moving toward commercialisation of chipless radio-frequency identification (RFID) systems, there is a significant challenge for the detection of chipless tag in a practical application, in which the conventional calibration techniques such as background subtraction are insufficient or even impractical. In this study, first, a processing algorithm for an inverse problem based on the range estimation is introduced. In an inverse problem, the tag ID and its distance to the reader are unknown. Employing the proposed algorithm, provided the specification of the reader antenna is known, the desired component of the received signal corresponding to the tag ID can be extracted without the requirement of background calibration. Then, a post-processing algorithm is proposed for the extraction of the tag ID, which provides a sustained detection outcome at an arbitrary distance. The proposed algorithms are verified with the help of a few datasets acquired from the simulation environment as well as measurement setups. A typical backscattering chipless RFID tag with six resonances is examined. The distance between the tag and the reader antenna is estimated, and the binary tag ID extracted successfully.

中文翻译：

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基于标签范围估计的无芯片RFID逆问题

朝着无芯片射频识别（RFID）系统的商业化发展，在实际应用中，对于检测无芯片标签存在重大挑战，在该应用中，诸如背景减法之类的常规校准技术不足甚至不切实际。在这项研究中，首先，介绍了一种基于距离估计的反问题处理算法。在相反的问题中，标签ID及其与阅读器的距离未知。使用所提出的算法，只要已知读取器天线的规格，就可以提取接收信号中与标签ID相对应的期望分量，而无需进行背景校准。然后，提出了一种用于提取标签ID的后处理算法，可以在任意距离处提供持续的检测结果。借助于从仿真环境以及测量设置获得的一些数据集，对提出的算法进行了验证。研究了具有六个共振的典型反向散射无芯片RFID标签。估计标签和阅读器天线之间的距离，并成功提取二进制标签ID。