基于AOA-TOA重构的单站定位算法

针对非视距环境，提出AOA-TOA重构的单站定位算法。算法分两步进行，第1步基于单次散射模型给出了一种关于波达角度(angle of arrival，AOA)的粗略的重构方法；第2步以单基站测得的波达时间(time of arrival，TOA)和AOA等信息，结合散射体分布模型的统计特性，对现有的AOA重构算法进行拓展，以最大似然估计法对TOA重构。改进了传统的单目标参数重构模式，实现了在非直达波(non-line-of-sight, NLOS)环境下基于散射体分布模型的单基站定位，并具有较高定位精度。仿真结果验证了该算法的有效性，同时，仿真结果还验证了该算法在密集多径环境下比多径稀疏的环境有更好的定位性能。

Algorithm of single station location based on AOA-TOA reconstruction

In this paper, a rough way about AOA's reconstruction based on the single scattering model is presented. Then the information about multiple scattering path's time of arrival(TOA)and angle of arrival(AOA) are measured by a single base station, and Statistical properties of the model scattering are used to expand the method of the AOA's reconstruction algorithm to reconstruct the TOA using maximum likelihood estimation. The traditional model of single target parameter reconstruction is improved, and the single base location in the condition of non-direct wave is implemented with high accuracy. The simulation results show the effectiveness of the algorithm and confirm that the algorithm in the dense multipath environment has better positioning performance than in sparse multipath environment.