基于带符号残差加权的手机定位方法

在蜂窝网的移动终端定位中,非视距(NLOS)环境造成的误差是导致定位精度下降的主要原因.为降低NLOS误差的影响,本文提出了一种基于带符号残差加权的定位方法.该方法采用Chan算法算出移动台的初始位置,用带符号残差加权模型进行修正,再应用带符号残差辅助的泰勒级数展开法进行迭代,得到移动台的最终估计位置.仿真实验结果表明,与基于平方残差加权的方法相比,基于带符号残差加权的方法的定位精度平均提高约14.82%,可更加有效地抑制NLOS的影响. 

A Mobile Phone Positioning Method Based on Signed Weighted Residuals

For the mobile terminal positioning in the cellular networks, the error of non-line-of-sight(NLOS) environment is the main reason which leads to the decrease of the positioning accuracy. To reduce the influence of NLOS error, a positioning method based on signed weighted residuals was proposed in this paper. Firstly Chan algorithm was adopted to calculate the initial position of mobile station, and then the position with signed weighted residuals model was revised, and finally the position of the mobile station with the signed residual adjuvant Taylor series expansion method of iteration was obtained. The simulation results show that compared with the weighted squared residuals based method, the positioning accuracy of the signed weighted residuals based method is increased by about 14.82% and it can suppress the influence of NLOS more effectively.