基于散射体信息的室内NLOS多站协作定位算法

Scatterer information based indoor NLOS multiple base station cooperative localization algorithm

针对现有视距(LOS)定位方法在非视距(NLOS)环境中定位精度急剧恶化的问题,提出一种基于散射体信息的室内NLOS多站协作定位算法,可在完全没有LOS路径的情况下进行定位。首先,利用多AP以及联合场景先验信息协同确定目标NLOS区域和散射体模糊区域;其次,根据信号的到达角对散射体区域进行约束,并在区域内搜索散射体的位置信息;然后,利用这些信息构造基于差分飞行时间的误差最小化方程;最后,提出混合使用遗传算法和列文伯格马夸尔特算法求解目标方程。仿真及真实环境模拟测试结果显示,所提算法仅通过NLOS路径即可定位目标。

In indoor environments,the localization accuracy of existing line of sight(LOS)solutions will deteriorate severely in non-line-of-sight(NLOS)environment.In order to solve this problem,an scatterer information based indoor NLOS multiple base stations cooperative localization algorithm was proposed,which could realize localization when no LOS path was available.Firstly,the target NLOS area and scatterer blur area were collaboratively determined through multiple AP and joint scene prior information.Secondly,the areas of scatterer were further constrained according to the angle of arrival.Then,an error minimization equation based on the differential time of flight was established by employing angle,scatterer and time.Finally,a hybrid algorithm using genetic algorithm and Levenberg Marquardt algorithm was proposed to solve the objective equation.Simulation and measurement results show that the proposed algorithm can localize the target with only NLOS paths.