一种减小NLOS影响的TOA定位算法

在基于蜂窝网的无线定位系统中,NLOS(非视距传播)总是对TOA(波达时间)测量距离造成较大的正偏差,严重影响了定位精度。卡尔曼滤波用来处理基于TOA的距离测量数据,平滑了总体误差,但效果依然不够理想。本文通过修正滤波值和多次滤波,能有效减小TOA误差,改善定位效果。仿真结果表明,该算法能取得很好的定位精度。

A TOA-based Location Algorithm for Mitigating the Effect of NLOS

In wireless position location system based mobile communication, NLOS(Non-Line of Sight) always cause remarkable positive bias to the range of TOA(Time of Arrival) measurements and badly affect the location accuracy. Kalman filter is used to mitigate the NLOS effect for TOA measurements,and smooth the whole error,but effect needs to be improved. In this paper an improved method is proposed to effectively reduce the error by modifying filter value and repeating filter. Simulation results shows that the algorithm can acquire good location accuracy.