首页> 外文学位 >Three-dimensional indoor RFID localization system.
【24h】

Three-dimensional indoor RFID localization system.

机译:三维室内RFID定位系统。

获取原文
获取原文并翻译 | 示例

摘要

Radio Frequency Identification (RFID) is an information exchange technology based on radio waves communication. It is also a possible solution to indoor localization. Due to multipath propagation and anisotropic interference in the indoor environment, theoretical propagation models are generally not sufficient for RFID-based localization. In fact, the radio frequency (RF) signal distribution may not even be monotonic and this makes range-based localization algorithms less accurate. On the other hand, range free localization algorithms, such as k Nearest-Neighbor (kNN), require reference tags to be spread throughout the whole three-dimensional (3D) space which is simply not practical. In this work, a hybrid real-time localization algorithm that combines reference tags with Received Signal Strength Indicator (RSSI) ranging is introduced to improve RFID-based 3D localization in high-complexity indoor environments. The experiments demonstrate that the proposed system is more accurate than traditional algorithms under real world constraints. The active RFID system includes 4 readers and 24 reference tags deployed in a fully furnished room. The localization algorithm is implemented in MATLAB and is synchronized with RF signal data collection in real-time. The results show that the novel hybrid algorithm achieves an average 3D localization error of 1.08m which represents a significant improvement over kNN and RSSI algorithms under the same circumstance. A battery-assisted passive RFID system was deployed side-by-side to the active system for comparison. Furthermore, the reader and tag performance was evaluated in both high-complexity laboratory environment and International Space Station (ISS) mock-up with high-reflection interior surface. In addition, theoretical models on minimum number of required reference tags and localization error prediction were introduced.
机译:射频识别(RFID)是一种基于无线电波通信的信息交换技术。这也是室内定位的可能解决方案。由于室内环境中的多径传播和各向异性干扰,理论上的传播模型通常不足以实现基于RFID的定位。实际上,射频(RF)信号分布甚至可能不是单调的,这使基于范围的定位算法不太准确。另一方面,诸如k近邻(kNN)之类的无范围定位算法要求将参考标签分布在整个三维(3D)空间中,这根本不可行。在这项工作中,引入了一种混合实时定位算法,该算法将参考标签与接收信号强度指示器(RSSI)测距结合在一起,以改善高复杂度室内环境中基于RFID的3D定位。实验表明,在现实世界的约束下,该系统比传统算法更准确。有源RFID系统包括4个阅读器和24个参考标签,它们部署在一个设备齐全的房间中。定位算法在MATLAB中实现,并与RF信号数据收集实时同步。结果表明,该新型混合算法实现了平均3D定位误差为1.08m,与相同情况下的kNN和RSSI算法相比,具有明显的改进。电池辅助无源RFID系统与有源系统并排部署以进行比较。此外,在高复杂性实验室环境和具有高反射内表面的国际空间站(ISS)样机中,都对阅读器和标签的性能进行了评估。此外,介绍了有关所需参考标签最少数量和定位误差预测的理论模型。

著录项

  • 作者

    Wu, Jiaqing.;

  • 作者单位

    The University of Nebraska - Lincoln.;

  • 授予单位 The University of Nebraska - Lincoln.;
  • 学科 Engineering Electronics and Electrical.;Engineering Industrial.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 198 p.
  • 总页数 198
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号