摘要：

为弥补独立采用GPS或基于基站定位方法的不足，并消除非视距传播的影响，提出一种基于BP神经网络的混合定位算法。利用BP神经网络对到达时间差(TDOA)和GPS测量值中的非视距传播误差进行修正，使用TDOA/GPS算法进行定位。仿真结果表明，在单独使用TDOA或GPS方法无法定位时，该算法能够实现移动台的精确定位。

关键词: 无线定位, 定位算法, 神经网络, 非视距传播, 到达时间差

Abstract:

In order to make up for the disadvantages of GPS or base station inability of localization for Mobile Station(MS) respectively and eliminate the influence of non line-of-sight spreading, a kind of hybrid localization algorithm based on BP neural network is proposed. Non Line of Sight(NLOS) error in the measured value Time Difference of Arrival(TDOA) and GPS is corrected by using BP neural network, TDOA/GPS location algorithm is used for localization. Simulation results show that the proposed algorithm can effectively achieve the mobile localization while using TDOA or GPS alone can not achieve.

Key words: wireless localization, localization algorithm, neural network, Non Line of Sight(NLOS) spreading, Time Difference of Arrival(TDOA)

中图分类号: 

• TP393