基于散射体信息的室内NLOS单基站定位算法

针对室内非视距(non-line-of-sight，NLOS)环境下的定位问题，提出一种基于散射体信息的室内NLOS单基站定位算法。根据室内场景的先验信息获得散射体的分布范围，选定一条反射路径的飞行时间(time of flight，TOF)作为参考，利用剩余路径的TOF与其做差分来构造差分TOF观测值，从而消除由于收发两端时钟不同步造成的相位误差影响; 根据每条路径的AOA及散射体的分布范围进一步确定散射体的位置范围; 利用差分TOF构造非线性定位目标方程，进一步将此方程转换为非线性最小二乘优化问题，利用遗传算法(genetic algorithm，GA)对目标进行初步定位，采用列文伯格-马夸尔特(Levenberg-Marquard，LM)算法对目标进行精确定位。仿真结果表明，该算法可以有效解决室内NLOS环境下的单站定位问题。

Indoor NLOS single base station localization algorithm based on scatterer information

Aiming at the localization problem of indoor Non-Line-of-Sight (NLOS) environment, a single base station localization algorithm based on scatterers information is proposed in this paper. Firstly, according to the priori information of indoor scene, the distribution range of scatterers is obtained. Secondly, the Time of Flight (TOF) of a path is selected as a reference, the TOF of the remaining path subtract it to construct difference TOF, thus eliminating the phase error caused by asynchronous receiver and transmitter. At the same time, the location range of the scatterers is further determined according to the AOA of each path and the distribution range of the scatterers. Then, the nonlinear localization target equation is constructed by the difference TOF, and the equation is further transformed into a nonlinear least squares optimization problem. Finally, Genetic Algorithm (GA) is used to preliminarily locate the target, and Levenberg-Marquard (LM) algorithm is used to accurately locate the target. Simulation results show that this algorithm can effectively solve the problem of single station localization in indoor NLOS environment.