使用多个独立读取器会话可靠地识别RFID标签
Reliable Identification of RFID Tags Using Multiple Independent Reader Sessions
摘要：
射频识别（RFID）系统在物流、库存等的各种应用中正获得动力。这种系统中的一般问题是确保RFID读取器能够可靠地读取一组RFID标签，使得标签丢失的概率保持在可接受值以下。一个标签可能会丢失（左未读），由于错误的通信链路对阅读器，例如由于在无线电路径的障碍。本文件提出了技术，使用多个阅读器会话，在此期间，系统的阅读器获得运行估计的概率有至少一个标签丢失。基于这样的估计，决定是否需要额外的读取器会话。提出了两种方法，它们依赖于跨不同读取器会话的标签读取错误的统计独立性，这是当例如每个读取器会话在不同读取器上执行时的合理假设。第一种方法使用当阅读器会话独立时有效的统计关系。第二种方法是通过修改现有的捕获-再捕获估计器。结果表明，当阅读器会话是独立的，所提出的机制提供了一个很好的近似的概率丢失的标签，这样的阅读器会话的数量，满足目标规范。如果违反了独立性的假设，估计值仍然是有用的，但它们应该通过额外的阅读器会话来校正，以确保满足丢失标签的目标概率。
英文摘要：
Radio Frequency Identification (RFID) systems are gaining momentum in various applications of logistics, inventory, etc. A generic problem in such systems is to ensure that the RFID readers can reliably read a set of RFID tags, such that the probability of missing tags stays below an acceptable value. A tag may be missing (left unread) due to errors in the communication link towards the reader e.g. due to obstacles in the radio path. The present paper proposes techniques that use multiple reader sessions, during which the system of readers obtains a running estimate of the probability to have at least one tag missing. Based on such an estimate, it is decided whether an additional reader session is required. Two methods are proposed, they rely on the statistical independence of the tag reading errors across different reader sessions, which is a plausible assumption when e.g. each reader session is executed on different readers. The first method uses statistical relationships that are valid when the reader sessions are independent. The second method is obtained by modifying an existing capture-recapture estimator. The results show that, when the reader sessions are independent, the proposed mechanisms provide a good approximation to the probability of missing tags, such that the number of reader sessions made, meets the target specification. If the assumption of independence is violated, the estimators are still useful, but they should be corrected by a margin of additional reader sessions to ensure that the target probability of missing tags is met.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
