基于二次散射体模型的GPS/蜂窝网混合定位方法

 针对蜂窝网精度不高及GPS在复杂环境下存在信息不足等各不可抗的缺陷,采用基于GPS和蜂窝网相结合的混合定位方法,来改善定位的可用性,和提高定位精度.针对影响GPS/蜂窝组合定位系统精度的主要因素NLOS传播,采用二次散射体模型抑制NLOS传播影响,其思路在于将散射体作为虚拟基站,抑制蜂窝的NLOS误差,辅助GPS定位,并改善精度因子(DOP),把NLOS误差转化为确定性的模型因素,因此定位精度主要取决于定位参数的测量精度,和非直达波引起的参数偏差无关,从而进一步提高了复杂环境下GPS/蜂窝混合定位精度.通过在静止、运动、ROS模型、高斯噪声传播环境下的仿真实验证明,该方法具有更高的精度和更强的鲁棒性.

GPS/Cellular network hybrid positioning method based on two scatter model

Cellular network has low accuracy and GPS has insufficient information in complex environment,aiming at the irresistible detects in respective positioning system,we presented a combined positioning method based on the GPS and cellular network,to improve the availability of positioning,and improve the positioning accuracy.And aiming at the main factors affecting the accuracy of GPS/cellular combination positioning system NLOS transmission,we also adopt two scatterer model to suppress NLOS propagation effects,the idea was to take scatter as a virtual base station,inhabiting of cellular NLOS error,auxiliary GPS positioning,and improving the dilution of position (DOP),transforming the NLOS error into a decisive model factors,so the precision mainly depended on the orientation of the measuring accuracy of the parameters and unrelated to non direct wave caused by parameter deviation,so the method improved GPS/cellular hybrid positioning accuracy in complex environment.Through simulation experiments in the static,movement,ROS model and Gauss noise propagation environment,the method showed that the results had higher accuracy and stronger robustness.