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Algorithms for indoor localization based on IEEE 802.15.4-2011 UWB and inertial sensors

机译:基于IEEE 802.15.4-2011 UWB和惯性传感器的室内定位算法

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摘要

In this thesis, extensive experiments are firstly conducted to characterize the performance of using the emerging IEEE 802.15.4-2011 ultra wideband (UWB) for indoor localization, and the results demonstrate the accuracy and precision of using time of arrival measurements for ranging applications. A multipath propagation controlling technique is synthesized which considers the relationship between transmit power, transmission range and signal-to-noise ratio. The methodology includes a novel bilateral transmitter output power control algorithm which is demonstrated to be able to stabilize the multipath channel, and enable sub 5cm instant ranging accuracy in line of sight conditions. A fully-coupled architecture is proposed for the localization system using a combination of IEEE 802.15.4-2011 UWB and inertial sensors. This architecture not only implements the position estimation of the object by fusing the UWB and inertial measurements, but enables the nodes in the localization network to mutually share positional and other useful information via the UWB channel. The hybrid system has been demonstrated to be capable of simultaneous local-positioning and remote-tracking of the mobile object. Three fusion algorithms for relative position estimation are proposed, including internal navigation system (INS), INS with UWB ranging correction, and orientation plus ranging. Experimental results show that the INS with UWB correction algorithm achieves an average position accuracy of 0.1883m, and gets 83% and 62% improvements on the accuracy of the INS (1.0994m) and the existing extended Kalman filter tracking algorithm (0.5m), respectively.
机译:在本文中,首先进行了广泛的实验以表征使用新兴的IEEE 802.15.4-2011超宽带(UWB)进行室内定位的性能,结果证明了到达时间测量用于测距应用的准确性和精度。合成了一种多径传播控制技术,该技术考虑了发射功率,发射范围和信噪比之间的关系。该方法包括一种新颖的双边发射机输出功率控制算法,该算法被证明能够稳定多径信道,并在视线条件下实现5cm以下的即时测距精度。提出了一种结合IEEE 802.15.4-2011 UWB和惯性传感器的定位系统全耦合架构。这种架构不仅通过融合UWB和惯性测量来实现对象的位置估计,还使定位网络中的节点可以通过UWB通道相互共享位置信息和其他有用信息。混合系统已被证明能够同时对移动对象进行本地定位和远程跟踪。提出了三种用于相对位置估计的融合算法,包括内部导航系统(INS),具有UWB测距校正的INS和方向加测距。实验结果表明,采用UWB校正算法的INS的平均位置精度为0.1883m,对INS的精度(1.0994m)和现有的扩展卡尔曼滤波器跟踪算法(0.5m)分别提高了83%和62%,分别。

著录项

  • 作者

    Ye Tingcong;

  • 作者单位
  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 en
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