一种基于单次散射体定位的TOA/AOA混合定位算法

A TOA/AOA Hybrid Location Algorithm Based on Single Scatterer Localization

为了降低非视距(Non-Line-of-Sight,NLOS)误差对定位精度的不利影响,提出了一种基于散射体定位的到达时间(Time of Arrival,TOA)/到达角(Angle of Arrival,AOA)混合定位算法。假设各基站(Base Station,BS)接收的多径信号都经历了散射体单次散射,首先利用各BS测量的多径信号AOA信息来定位各散射体,再利用测量的多径信号TOA信息估计出散射体与移动台(Mobile Station,MS)之间的距离,然后将散射体作为虚拟基站来约束MS可能位置范围,并使用网格搜索来获得多个MS可能的估计位置,最后采用基于BS参考位置点的约束平均方法解算出MS估计位置。在不同NLOS场景下的仿真结果表明,与现有算法相比,所提算法取得了更好的定位性能。

In order to reduce the negative effect of non-line-of-sight(NLOS)error on positioning accuracy,a time of arrival(TOA)/angle of arrival(AOA)hybrid localization algorithm based on scatterer localization is proposed.Assuming that the multipath signals received by each base station(BS)have experienced a single scattering of scatterers,the AOA information of the multipath signals measured by each BS is used to locate each scatterer,and then the distance between the scatterer and mobile station(MS)is estimated by the TOA information of the multipath signals measured by each BS.Then the scatterers are used as virtual base stations to constrain the possible location range of MS,and the grid search method is used to obtain the possible estimated locations of multiple MS.Finally,the constrained average method based on BS reference position points is used to calculate the estimated position of MS.Simulation results in different NLOS scenarios show that the proposed algorithm achieves better positioning performance than the original algorithms.