Luo Jinglin, Zhang Jingjing, Yang Haidong, Guan Yisheng
Foshan Nanhai Guangdong Technology University CNC Equipment Cooperative Innovation Institute, Foshan 528225, China.
School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Sensors (Basel). 2022 Feb 16;22(4):1532. doi: 10.3390/s22041532.
In this paper, we proposed a Regular Tetrahedral Array (RTA) to cope with various types of sensors expected in Ultra-Wideband (UWB) localization requiring all-directional detection capability and high accuracy, such as indoor Internet-of-Things (IoT) devices at diverse locations, UAVs performing aerial navigation, collision avoidance and takeoff/landing guidance. The RTA is deployed with four synchronized Ultra-Wideband (UWB) transceivers on its vertexes and configured with arbitrary aperture. An all-directional DOA estimation algorithm using combined TDoA and wrapped PDoA was conducted. The 3D array RTA was decomposed into four planar subarrays solved as phased Uniform Circular Array (UCA) respectively. A new cost function based on geometric identical and variable neighborhood search strategy using TDoA information was proposed for ambiguity resolution. The results of simulation and numerical experiments demonstrated excellent performance of the proposed RTA and corresponding algorithm.
在本文中，我们提出了一种正四面体阵列（RTA），以应对超宽带（UWB）定位中所需的各种类型传感器，这些传感器需要具备全向检测能力和高精度，例如不同位置的室内物联网（IoT）设备、执行空中导航、防撞和起飞/着陆引导的无人机。RTA在其顶点部署了四个同步的超宽带（UWB）收发器，并配置了任意孔径。进行了一种使用组合到达时间差（TDoA）和包裹式到达角（PDoA）的全向到达角估计算法。三维阵列RTA被分解为四个平面子阵列，分别作为相控均匀圆形阵列（UCA）求解。提出了一种基于几何恒等和使用TDoA信息的可变邻域搜索策略的新代价函数，用于模糊度分辨率。仿真和数值实验结果证明了所提出的RTA和相应算法的优异性能。
