School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong 2522, Australia.
School of Electrical and Data Engineering, University of Technology Sydney, Ultimo 2007, Australia.
Sensors (Basel). 2020 Jul 9;20(14):3838. doi: 10.3390/s20143838.
Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of these measurements to estimate the agents' locations. However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements, called 1AOA/nRSSI, to simplify the WSN. Instead of using many anchors with large antenna arrays, the proposed method only requires one master anchor to provide one AOA estimation, while other anchors are simple single-antenna transceivers. By simply transforming the 1AOA/1RSSI information into two corresponding virtual anchors, the problem of integrating one AOA and RSSI measurements is solved using the least square and subspace methods. The solutions are then evaluated to characterize the impact of angular and distance measurement errors. Simulation results show that the proposed network achieves the same level of precision as in a fully hybrid nAOA/nRSSI network with a slightly higher number of simple anchors.
利用混合到达角（AOA）估计和接收信号强度指示（RSSI）进行源定位很有吸引力，因为未知节点和锚点之间不需要同步。传统上，混合 AOA/RSSI 定位将相同数量的这些测量值结合起来估计代理的位置。然而，由于 AOA 估计需要锚点配备大型天线阵列和复杂的信号处理，这种传统的组合使得无线传感器网络（WSN）变得复杂。本文提出了两种测量方法的不平衡集成，称为 1AOA/nRSSI，以简化 WSN。该方法不需要使用具有大型天线阵列的许多锚点，而是只需要一个主锚点提供一个 AOA 估计，而其他锚点是简单的单天线收发器。通过简单地将 1AOA/1RSSI 信息转换为两个相应的虚拟锚点，使用最小二乘法和子空间方法解决了集成一个 AOA 和 RSSI 测量值的问题。然后评估解决方案以表征角度和距离测量误差的影响。仿真结果表明，与完全混合 nAOA/nRSSI 网络相比，所提出的网络具有略微更多的简单锚点，可实现相同的精度水平。
