基于BP神经网络的定位跟踪算法

Location and tracking algorithm based on BP neural network

提出了一种在NLOS环境下对移动台的定位与跟踪算法。利用BP神经网络对TDOA测量值中NLOS误差进行修正,再利用Chan算法进行移动台位置估计,配合相关检测距离门对移动台进行跟踪。仿真结果表明,该跟踪算法能够有效地实现移动台的静态定位与动态跟踪,性能优于基于Chan算法、LS算法、Taylor算法的静态定位与动态跟踪。

A location and tracking algorithm with NLOS（Non-Line Of Sight） errors for MS（Mobile Station） is proposed in this paper.The algorithm is able to correct the NLOS errors using BP（Back Propagation） neural network on TDOA（Time Diffence Of Arrive） measurements.The positions of MS can be estimated by Chan＇s algorithm.Cooperating correlation detection gate,the MS is tracked by the algorithm.The simulation results show that the algorithm performance is better than others not only in the static state but also in the dynamic state.