3-D localization of wireless sensor nodes using near-field magnetic-induction communications
3-D localization of wireless sensor nodes using near-field magnetic-induction communications
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DOI：
10.1016/j.phycom.2018.07.011
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发表时间：
2018-10-01
影响因子：
2.2
通讯作者：
Zheng, Yahong Rosa
中科院分区：
文献类型：
--
作者：
Huang, Huai;Zheng, Yahong Rosa
本文提出了两种定位方法的无线传感器节点，利用一个任意定向的三向线圈作为磁感应（MI）的无线通信的发射机和接收机。利用三向线圈天线在近场的磁场测量，这两种定位算法只使用两个锚节点在3-D空间中定位传感器节点。假设每个锚节点依次通过三个线圈发送通信信号，并在传感器节点处同时被三个线圈接收，推导出基于每个锚节点的信号估计传输距离和极角的封闭公式，从而得到8个可能的定位点。然后，基于旋转矩阵（RM）的方法导出发送器和接收器之间的定向旋转矩阵，以在每个锚节点中找到具有相反方向的两个可能的位置向量。然后，在两个锚节点的辅助下，利用最大似然估计算法进行定位。另一种方法称为基于距离的方法，考虑到两个锚节点的位置和传感器节点的两组八个可能的位置估计，通过最小化距离来估计位置。基于距离的定位方法计算复杂度较低，而基于距离的定位方法具有较高的定位精度。然而，当两个锚节点的取向相同时，基于距离的方法可能遇到位置模糊。通过仿真比较了这两种算法和现有的定位算法在这种情况下的性能。结果表明，本文提出的两种定位算法和推导出的距离封闭公式在较大测量误差的情况下都能达到较好的定位精度。(C)2018爱思唯尔出版社
This paper proposes two localization methods for wireless sensor nodes that utilize an arbitrarily oriented tri-directional coil as both magnetic induction (MI) transmitter and receiver for wireless communications. Taking advantage of magnetic field measurements of a tri-directional coil antenna in the near-field, the two localization algorithms use only two anchor nodes to locate a sensor node in the 3-D space. Assuming each anchor node transmits the communication signals by three coils sequentially, which are received by the three coils at a sensor node simultaneously, this paper derives closed-form formulas for estimating the transmission distance and the polar angles to yield eight possible location points based on the signals of each anchor node. Then a rotation matrix (RM)-based method derives the orientation rotation matrix between the transmitter and receiver to find two possible location vectors with opposite directions in each anchor node. Then, we use maximum likelihood to estimate the location with two anchor nodes assisted. Another method called the distance-based method, taking into account the locations of the two anchor nodes and the two sets of eight possible location estimates of the sensor node, estimates the location by minimizing the distance. The RM-based method can achieve high localization accuracy while the distance-based method has less computational complexity. However, the distance-based method may encounter location ambiguity when the orientations of the two anchor nodes are the same. Simulations were performed to compare these two algorithms and the existing localization algorithm in this scenario. The results show that the proposed two localization algorithms and the derived closed-form formula of distance achieve good accuracy under large measurement errors. (C) 2018 Published by Elsevier B.V.