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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。
In non-line-of-sight (NLOS) errors, the wireless network’s target location performance drops dramatically. Aiming at the NLOA error TDOA / AOA hybrid positioning algorithm, the Wylie identification algorithm of measurement polynomial fitting is used to identify the base station with NLOS error. According to the statistics of NLOS additional delay, the mean value of additional delay and Variance and TDOA measurements were reconstructed. Then TDOA / AOA hybrid positioning algorithm based on Taylor series expansion was used to obtain the location estimate of joint target location in wireless networks. The simulation results show that the proposed method can effectively improve the target location accuracy of wireless networks in the presence of NLOS error.