基于数据融合的TDOA定位方法研究

Research On the TDOA Location Method Based On the Data Fusion

本文从基站选择的角度,利用不同基站集合的定位估计结果并结合先验信息得到具有最小几何精度因子的定位估计、不同定位估计基于信息分享的方法的融合结果以及基于残差的融合结果,然后将各层融合结果按照最佳线性融合的方法融合形成决策输出。仿真结果表明:在非视距环境下,该算法有效的提高了移动台的定位精度,而且此算法简单,易于实现。

The article stand the point of the selection of the BS, uses the location estimation of the different BS set and the previous knowledge to get the location estimation of the minimum GDOP, the value of the different location estimation based on the information sharing and the value of the estimations based on the residual, and then use the optimum linear fusion method to fuse the estimation of each layer to make the decision output. The simulation result show that under the NLOS environment, the algorithm advances the accuracy of the ms＇ location effectively, besides, the algorithm is rather simple and easy to practice.