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2018 IEEE International Conference on RFID Technology & Application (RFID-TA)最新文献

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Fabrication and Practical Evaluation of Glove-integrated Passive UHF RFID Tags 手套集成无源超高频RFID标签的制造与实用评估
Pub Date : 2018-09-01 DOI: 10.1109/RFID-TA.2018.8552814
Xiaochen Chen, Han He, L. Ukkonen, J. Virkki, J. Xu, T. Wang, L. Cheng
Passive RFID-based technology is a convincing approach to achieve versatile energy- and cost-efficient wireless platforms for future wearable applications. In this paper, we present passive UHF RFID tags integrated into normal work gloves for wearable RFID applications. We introduce embroidery as a new efficient antenna fabrication method for glove-integrated tags as well as establish reference glove-tag antennas from electro-textiles and copper tape. The performance of the three types of glove-tags is evaluated on a male test subject in an anechoic room and in an office environment. Based on the wireless measurement results, the read ranges of the embroidered glove-tags were around 1 meter in an anechoic chamber and in an office, when measured near the human body. These results meet the requirements of many practical applications of glove-tags, although the read ranges are shorter than those of the electro-textile and copper tape tags that showed read ranges of 2-2.5 meters. Finally, the developed glove-tags were successfully tested in actual use situations for identification and access control. These results are very promising, especially considering the cost effectiveness of embroidered tag antennas and the easiness of their integration into different types of gloves.
基于无源rfid的技术是一种令人信服的方法,可以为未来的可穿戴应用实现多种能源和成本效益的无线平台。在本文中,我们提出了无源超高频RFID标签集成到普通工作手套可穿戴RFID应用。介绍了刺绣作为一种高效的手套式标签天线制作新方法,并利用电子纺织品和铜带建立了手套式标签参考天线。在消声室和办公环境中对男性受试者进行了三种类型手套标签的性能评估。根据无线测量结果,刺绣手套标签在消声室和办公室的读取范围约为1米,当在人体附近测量时。这些结果满足了手套标签的许多实际应用要求,尽管读取范围比电子纺织品和铜带标签的读取范围短,读取范围为2-2.5米。最后,开发的手套标签在实际使用中进行了成功的身份识别和访问控制测试。这些结果非常有希望,特别是考虑到刺绣标签天线的成本效益和它们易于集成到不同类型的手套中。
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引用次数: 2
Near Field Sources Localization Based on Robust Propagator Method 基于鲁棒传播器方法的近场源定位
Pub Date : 2018-09-01 DOI: 10.1109/RFID-TA.2018.8552790
Sen Li, B. Lin, Bing Li, Rongxi He
The problem of joint direction-of-arrival (DOA) and range estimation of near-field multiple sources under α- stable distributed impulsive noise environments is studied in this paper. The proposed algorithm constructs the MUSIC spectral spectrum based on the noise subspace which is obtained by applying the propagator method on the fractional lower order statistical matrix of the array received signal, and then estimates the multiple sources' DOA and range parameters by the spectral peak search. Compared with the corresponding algorithms based on second-order statistics, the proposed algorithm can effectively suppress the impulse noise by using the fractional lower-order statistics. At same time, the inherent large computational complexity of the eigenvalue decomposition based methods can also be avoided. Simulation experiments prove the effectiveness of the proposed algorithm.
研究了α稳定分布脉冲噪声环境下近场多信号源的联合到达方向和距离估计问题。该算法基于对阵列接收信号的分数阶统计矩阵应用传播子法得到的噪声子空间构建MUSIC频谱,然后通过谱峰搜索估计多个源的DOA和距离参数。与基于二阶统计量的相应算法相比,该算法利用分数阶低阶统计量能有效抑制脉冲噪声。同时,也避免了基于特征值分解的方法固有的较大的计算复杂度。仿真实验证明了该算法的有效性。
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引用次数: 1
X-Vision: An Augmented Vision Tool with Real-Time Sensing Ability in Tagged Environments X-Vision:在标记环境中具有实时传感能力的增强视觉工具
Pub Date : 2018-06-02 DOI: 10.1109/RFID-TA.2018.8552778
Yongbin Sun, S. N. Kantareddy, R. Bhattacharyya, S. Sarma
We present the concept of X-Vision, an enhanced Augmented Reality (AR)-based visualization tool, with the realtime sensing capability in a tagged environment. We envision that this type of a tool will enhance the user-environment interaction and improve the productivity in factories, smartspaces, home & office environments, maintenance/facility rooms and operation theatres, etc. In this paper, we describe the design of this visualization system built upon combining the object's pose information estimated by the depth camera and the object's ID & physical attributes captured by the RFID tags. We built a physical prototype of the system demonstrating the projection of 3D holograms of the objects encoded with sensed information like water-level and temperature of common office/household objects. The paper also discusses the quality metrics used to compare the pose estimation algorithms for robust reconstruction of the object's 3D data.
我们提出了X-Vision的概念,这是一种基于增强现实(AR)的可视化工具,具有在标记环境中的实时传感能力。我们设想这种类型的工具将增强用户与环境的交互,并提高工厂、智能空间、家庭和办公环境、维护/设施室和手术室等的生产力。在本文中,我们描述了该可视化系统的设计,该系统将深度相机估计的物体姿态信息与RFID标签捕获的物体ID和物理属性相结合。我们建立了一个系统的物理原型,展示了物体的3D全息投影,这些物体被编码为普通办公室/家庭物品的水位和温度等感知信息。本文还讨论了用于比较姿态估计算法的质量指标,以实现目标三维数据的鲁棒重建。
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引用次数: 7
期刊
2018 IEEE International Conference on RFID Technology & Application (RFID-TA)
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