在非视距传播环境下无线定位的AOA算法

An AOA-based Wireless Location Algorithm in NLOS Propagation Environments

非视距传播(NLOS)是蜂窝无线定位的一个关键的问题,要提高无线定位的精度,必须有效减小非视距传播的影响。基于一种适合对各种定位算法进行分析的基于几何结构的单次反射统计信道模型(GBSB),提出一种减小非视距传播影响的AOA定位算法,该算法利用临近基站与移动台构成的三角函数关系和波达方向的最大角度扩展作为优化的约束条件,将基于波达方向(AOA)的无线定位问题转化为有约束的最优化问题,从而提高了无线定位的精度。仿真结果证明了该算法的有效性。

The non -line -of- sight （NLOS） is a key problem of wireless location in cellular networks. In order to improve the accuracy of the location estimation, the influence of NLOS propagation must be effectively mitigated. Based on geometrically based single - bounced （GBSB） statistical channel model which is suited to analyzing every location algorithm, an algorithm for wireless location using the measured angles of arrival （AOA） is proposed to mitigate the NLOS propagation in this paper. In order to improve the accuracy of the location estimation, the algorithm utilizes the largest angle spread and relationships drawn from the geometry of the BS and MS locations, solves the AOA - based location problem by converting it into a constrained optimization problem. Its effectiveness is verified by simulation.