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A simple method for anonymous tag cardinality estimation in RFID systems with false detection

机译:具有错误检测的RFID系统中匿名标签基数估计的一种简单方法

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This work investigates the anonymous tag cardinality estimation problem in radio frequency identification systems with frame slotted aloha-based protocol. Each tag, instead of sending its identity upon receiving the reader's request, randomly responds by only one bit in one of the time slots of the frame due to privacy and security. As a result, each slot with no response is observed as in an empty state, while the others are non-empty. Those information can be used for the tag cardinality estimation. Nevertheless, under effects of fading and noise, time slots with tags' response might be observed as empty, while those with no response might be detected as non-empty, which is known as a false detection phenomenon. The performance of conventional estimation methods is, thus, degraded because of inaccurate observations. In order to cope with this issue, we propose a new estimation algorithm using expectation-maximization method. Both the tag cardinality and a probability of false detection are iteratively estimated to maximize a likelihood function. Computer simulations will be provided to show the merit of the proposed method.
机译:这项工作调查了基于帧时隙基于协议的射频识别系统中的匿名标签基数估计问题。由于保密性和安全性,每个标签不是在接收到读取者的请求时发送其身份,而是在帧的一个时隙中仅随机响应一位。结果,观察到无响应的每个插槽为空状态,而其他插槽为非空状态。这些信息可以用于标签基数估计。然而,在衰落和噪声的影响下,带有标签响应的时隙可能被观察为空,而没有响应的时隙可能被检测为非空,这被称为错误检测现象。因此,由于观察结果不准确,导致传统估算方法的性能下降。为了解决这个问题,我们提出了一种使用期望最大化方法的新估计算法。反复估计标签基数和错误检测的概率,以最大化似然函数。将提供计算机仿真以显示所提出方法的优点。

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