In order to guarantee the tag identification accuracy and efficiency in mobile radio frequency identification system, it is necessary to estimate the tags’ arrival rate before performing identification. This research aims to develop a novel estimation method based on improved grey model(1,1) and sliding window mechanism. By establishing tags’ dynamic arrival model, this article emphasizes the importance of tags’ arrival rate estimation in mobile radio frequency identification system. Using sliding window mechanism and weighted coefficients method, weighted grey model(1,1) with sliding window (WGMSW(1,1)) is proposed based on traditional grey model(1,1). For experimental verification, three kinds of data are used as original data in WGMSW(1,1). The experimental results show that the proposed method has lower estimation error rate, lower computation complexity, and high system stability.

中文翻译：

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基于加权灰色模型(1,1)和滑动窗口的移动射频识别系统标签到达率估计方法

为了保证移动射频识别系统中标签识别的准确性和效率，在进行识别之前需要对标签的到达率进行估计。本研究旨在开发一种基于改进灰色模型(1,1)和滑动窗口机制的新估计方法。通过建立标签动态到达模型，强调了标签到达率估计在移动射频识别系统中的重要性。利用滑动窗口机制和加权系数方法，在传统灰度模型(1,1)的基础上提出了带滑动窗口(WGMSW(1,1))的加权灰度模型(1,1)。为了实验验证，WGMSW(1,1)中使用三种数据作为原始数据。实验结果表明，该方法具有较低的估计错误率，