In the railway scenario,based on wireless network location technology,the systematic measurement error leads to the location error,and the number of base stations which can locate is limited. In this paper,a TDOA/AOA data fusion algorithm is proposed,which can effectively reduce the location error and improve the accuracy. In this algorithm,TDOA algorithm,AOA algorithm,and the path equa-tion are combined. In the simulation experiment,compared with TDOA algorithm and AOA algorithm,TDOA/AOA data fusion algorithm has the smaller location root-mean-square error under different simulation conditions. Result shows this algorithm has better location per-formance.% 在铁路场景下,基于通信的无线网络定位技术中的定位误差主要来自系统测量误差,且参与定位的基站数目有限。文中结合TDOA算法和AOA算法中系统测量误差在定位误差中影响的互异特性,并利用铁轨路径方程,采用TDOA/AOA数据融合算法,有效地减小了系统测量误差带来的定位影响,提高了定位精度。在仿真实验中,用定位均方根误差作为评价指标,对TDOA算法、AOA算法和TDOA/AOA数据融合算法分别在不同条件下进行仿真分析。结果表明,在铁路场景下,本算法的定位均方根误差要小于TDOA算法和AOA算法,即该数据融合算法具有更好的定位性能。
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