基于AOA测距测量的无线传感器网络协同定位

Xianbo Jiang, Shengchu Wang
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引用次数: 4

摘要

本文研究了$2\pi/\pi$周期到达角(AOA)测距无线传感器网络(WSNs)中的协同定位问题。当WSN节点上天线阵列的方向角已知时,根据AOA观测值与相邻两个节点的xy-坐标之间的tan关系定义测距链路损耗。随后,将$2\pi$-周期AOAs下的定位问题转化为通过优化agent位置最小化测距链路总损失的凸优化问题,采用梯度下降(GD)法求解。在$\pi$-周期aoa下,引入额外的0/1整数来指示前后碰撞方向。通过将0/1整数松弛为$[0,1]$内的连续变量,将定位问题松弛为一个关于在代理位置和指示变量上最小化总链路损失的非凸优化问题,并采用投影GD (PGD)方法求解。最后,针对具有$2\pi$和$\pi$周期aoa的wsn,开发了i型最小二乘(LS)定位器。当方向角度未知时,将i型LS定位器与最大似然(ML)方向估计器相结合,开发了ii型LS定位器,该定位器交替更新agent位置和方向角度。仿真结果验证了所提出的ls型定位器优于现有的定位器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Localization in Wireless Sensor Networks with AOA Ranging Measurements
This paper researches the cooperative localization in wireless sensor networks (WSNs) with $2\pi/\pi$-periodic angle-of-arrival (AOA) ranging measurements. When the orientation angles of the antenna arrays at WSN nodes are known, a ranging link loss is defined based on the tan-relationships between AOA observations and xy-minus coordinates of two neighboring nodes. Subsequently, the positioning problem under $2\pi$-periodic AOAs is converted as a convex optimization problem about minimizing total ranging-link loss through optimizing agent positions, which is resolved by the gradient-descent (GD) method. Under $\pi$-periodic AOAs, additional 0/1 integers are introduced to indicate the front-or-back impinging directions. By relaxing 0/1 integers as continuous variables within $[0,1]$, the positioning problem is relaxed as a nonconvex optimization one about minimizing total link loss over the agent positions and indicating variables, which is solved by the projected GD (PGD) method. Finally, Type-I least-square (LS) localizer is developed for WSNs with both $2\pi$ and $\pi$-periodic AOAs. When the orientation angles are unknown, Type-II LS localizer is developed by combining Type-I LS localizer with a maximum-likelihood (ML) orientation estimator, which alternatively updates agent positions and orientation angles. Simulation results validate that the proposed LS-type localizers outperform existing localizers.
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