为解决城市非视距(non line of sight,NLOS)环境下三维单站定位方法精度低和需要先验信息的问题,提出基于多径信号到达角度(angle of arrival,AOA)和到达时间(time of arrival,TOA)的三维单站定位方法.利用移动基站在不同位置上的多径AOA估计散射中心位置;利用散射中心的多径TOA构建定位目标函数,并通过散射中心位置对目标位置进行约束,将定位问题转换为带约束的优化问题;利用列文伯格-马夸尔特(Levenberg Marquardt,LM)算法求解目标位置.仿真结果表明,所提方法在无需额外环境先验信息情况下,较对比算法提高了定位精度.
Research on three-dimensional single station localization method based on multipath-assisted AOA-TOA
To mitigate the challenges posed by low accuracy and the prerequisite of prior information in 3D single-station positioning methods within urban non-line-of-sight(NLOS)environments,this study introduces a novel approach utilizing the angle of arrival(AOA)and time of arrival(TOA)of multipath signals for 3D single-station positioning.Firstly,scatter center positions are estimated by leveraging multipath angle of arrival(AOA)measurements obtained from a mobile base station at different locations.Secondly,an objective function for positioning is constructed utilizing the multipath time of ar-rival(TOA)from scatter centers.The positioning problem is then transformed into a constrained optimization problem by imposing constraints based on the scatter center positions.Finally,the target position is computed using the Levenberg-Mar-quardt(LM)algorithm.Simulation results demonstrate that the proposed method enhances positioning accuracy compared to the comparative algorithms without requiring additional prior environmental information.
three-dimensional single station positioningurban non-line-of-sight environmentprior informationmultipath signals