一种NLOS环境下TDOA算法的改进

An Approved Algorithm Based on TDOA in NLOS Environment

在蜂窝无线定位的各种算法中,非视距误差已经成为影响定位精度的主要因素。该文在已存在算法的基础上,对到达时间差测量值进行修正,减小了由NLOS误差带来的超量时延,提高了Chan算法计算初始值的准确度,并把该初始值作为Taylor级数展开法的初值进行计算,再把两者的计算结果进行加权。仿真结果表明本算法能进一步提高NLOS环境下的定位精度。

In various cellular wireless location algorithms, NLOS error is a major factor to affect positioning accuracy. This paper amends the TDOA measurements based on the algorithms in existence, then reduces the excessive delaying by the NLOS error, and increases the accuracy of initial value calculated by Chan algorithm. This value is used as the initial value of Taylor series expansion, then the two results are weighted. The simulation results show that the algorithm can further improve the positioning accuracy of the NLOS environment.