小波分析法解决无线定位跟踪问题

Wavelet Analysis Method to Solve the Problem of Wireless Location Tracking

无线定位中,信号的非视距传播(NLoS)很大程度上决定了移动台的定位精度,而小波分析理论在信号处理中有较为明显的优点,提出了一种在蜂窝网络中非视距环境下对移动台(MS)的定位及跟踪算法。利用小波变换对信号的分解和重构,实现了对TDOA测量值误差的修正,再利用经典Chan算法对移动台位置进行估计,配合相应的距离门限值对移动台的位置进行跟踪定位。仿真结果表明,该算法能够有效地实现对移动台位置的静态定位和动态跟踪,并明显优于同等环境下经典算法的仿真结果,有效提高了定位精度。

The signal of non-line-of-sight propagation（NLoS） largely determine the positioning accuracy of the mobile station in wireless location,the wavelet analysis theory has obvious advantages in signal processing.A positioning and tracking algorithm of the mobile station （MS） in the NLoS environment of cellular network was presented.Using wavelet transform signal decomposition and reconstruction,the TDOA measurement error correction,re-use classic Chan algorithm to estimate the location of the mobile station,with the corresponding distance threshold to track the location of the mobile station location.The simulation results show that the algorithm can effectively achieve the static positioning and dynamic tracking of the location of the mobile station,and significantly better than the classical algorithm simulation results in the same environment,and effectively improve the positioning accuracy.