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Measurement uncertainty limit analysis of biased estimators in RFID multiple tags system

机译：RFID多标签系统中有偏估计量的测量不确定度极限分析

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摘要

In the measurement of real radio frequency identification (RFID) system, due to the relative and absolute systematic errors, biased estimators do happen in the practical measurement, which are difficult to be analysed. In order to get effective biased estimators, the linear and nonlinear functions in the measurement of RFID tags are taken as a paradigm to study the equivalence between the bias-corrected estimators and biased estimators. The measurement curve of optimum distribution angles of multiple tags is analysed in particular based on Fisher information determinant (FID), which could be used to evaluate the optimum performance of multiple RFID tags system. The results demonstrate the bias-corrected estimators of the single tag's reading distance and multiple tags' measurement curve of optimum distribution angles in RFID system could be obtained by calculating the corresponding biased estimators. Particularly, the biased estimator of multiple tags' measurement curve of optimum distribution angles reaches the CRB when and only when the bias-corrected estimator reaches its corresponding CRB. Finally, the general expression of the biased CRB case in UHF RFID measurement is obtained. This study could be used as an evaluation tool for the measurement uncertainty limit of biased estimators.
机译：在实际射频识别（RFID）系统的测量中，由于相对和绝对的系统误差，在实际测量中确实会出现有偏差的估计量，很难进行分析。为了获得有效的偏置估计量，将RFID标签测量中的线性和非线性函数作为范例来研究偏置校正的估计量与偏置估计量之间的等效性。尤其基于费舍尔信息行列式（FID）分析了多个标签的最佳分布角度的测量曲线，该曲线可用于评估多个RFID标签系统的最佳性能。结果表明，通过计算相应的偏差估计量，可以获得RFID系统中单个标签的读取距离的偏差校正估计量和多个标签的最佳分布角测量曲线。特别地，多个标签的最佳分布角的测量曲线的偏置估计器在且仅当偏置校正的估计器达到其对应的CRB时才到达CRB。最终，获得了超高频RFID测量中CRB偏置情况的一般表达。这项研究可以用作有偏估计量的测量不确定度极限的评估工具。

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