非视距误差的TDOA/AOA混合定位算法

A Hybrid TDOA/AOA Location Algorithm With NLOS

在非视距(NLOS)误差时,无线网络的目标定位性能急剧下降。提出一种针对NLOS误差的TDOA/AOA混合定位算法,首先利用量测值多项式拟合的Wylie鉴别算法辨别出具有NLOS误差的基站,根据NLOS附加时延的统计特性估计出附加时延的均值和方差,并重构到达时间差(TDOA)测量值;然后采用基于泰勒级数展开的TDOA/AOA混合定位算法,得出无线网络联合目标定位的位置估计值。仿真结果证实,该方法在存在NLOS误差下能有效提高无线网络的目标定位精度。

Due to the influence of None-Line-Of-Sight （NLOS）,the performance of wireless networks location system drastically declines.The paper proposes a hybrid TDOA/AOA location algorithm,which could efficiently restrain the NLOS errors.Firstly,the NLOS Base-Stations （BS） are identified by Wylie identification algorithm of polynomial fit for measurements.Based on the statistical property of the excessive time delay in NLOS environment,the measurements for TDOA are reconstructed by estimating the mean and variance of the excessive time delay.Then,the location estimation of wireless networks location system is obtained by the hybrid TDOA/AOA location algorithm of Taylor Series expansion.Simulation results show that this method could efficiently raise the location accuracy of wireless networks with the existence of NLOS errors.