一种基于Mesh网络的混合AOA/RSSI协作定位算法

A hybrid AOA/RSSI cooperative localization algorithm based on mesh networks

传统到达角度(Angle-Of-Arrival,AOA)/接受信号强度指示(Received Signal Strength Indicator,RSSI)混合定位往往需要多个锚节点布设阵列天线以实现高精度定位,为解决在锚节点资源受限下精度较低的问题,提出了一种基于Mesh网络的混合AOA/RSSI协作定位方法。仅有中心主锚节点提供AOA角度的情况下,采取最小二乘法对联合真实和虚拟锚节点所对应角度和距离信息进行初步定位;利用未知节点之间的协作通信和测距信息,位置估计问题被转换为无约束非线性优化问题,给予短距离链路更高权重,通过迭代求解最终实现协作定位。仿真结果表明,所提算法在锚节点资源受限情况下有效地提升了定位精度。

Traditional hybrid Angle-Of-Arrival(AOA)/Received Signal Strength Indicator(RSSI)localization methods require all of the anchor nodes to be equipped with the large scale of antenna arrays to achieve high accuracy of localization.To solve the problem of low localization accuracy under the resource constraint of anchor nodes,a hybrid AOA/RSSI cooperation localization method based on mesh networks was proposed.With only one central anchor node providing AOA angle information,the angle and distance information of real and virtual anchor nodes was integrated to estimate the preliminary localization by using the least square method.Then,the cooperative communication and ranging information between unknown nodes was added to the overall localization process,and the localization estimation problem was converted into an unconstrained non-linear optimization problem,higher weights were given to the short-range links,and the cooperative localization was solved by iterative solving.Simulation results show that the proposed algorithm effectively improves the localization accuracy under the resource constraint of anchor nodes.