摘要： 为减小蜂窝网定位中影响定位精度的非视距(NLOS)传播误差，提出一种基于两步卡尔曼滤波到达时间差/到达角度的混合定位算法。利用卡尔曼滤波器的估计值计算非视距数据的方差，调节卡尔曼滤波器的参数，减小测量值的NLOS误差，并将经过预处理的测量值输入到扩展卡尔曼滤波器，实现混合定位。实验结果表明，该算法能有效消除NLOS误差，与Chan算法相比，其定位精度更高。
关键词:
无线定位,
卡尔曼滤波器,
非视距传播,
到达时间差,
混合定位,
到达角
Abstract: The Non-line of Sight(NLOS) transmission error is the main difficulty for mobile user location in cellular wireless communication system. So a novel Time Difference of Arrival(TDOA)/Angle of Arrival(AOA) wireless position scheme based on the two step Kalman filter is proposed. The estimate of the Kalman filter is used to calculate the variance of NLOS, and it adjusts the Kalman filter parameters and mitigate the NLOS error of measurement. These preprocessed measurements are input to the hybrid location estimator implemented by Extended Kalman Filter(EKF). Experimental results show that this algorithm can mitigate the NLOS error, and compared with Chan algorithm, it can improve the positioning accuracy.
Key words:
wireless position,
Kalman filter,
Non-line of Sight(NLOS) transmission,
Time Difference of Arrival(TDOA),
hybrid location,
Angle of Arrival(AOA)
中图分类号:
徐英凯, 曹洁, 陈晓群. 一种抑制非视距传播误差的混合定位算法[J]. 计算机工程, 2013, 39(7): 119-122.
XU Yang-Kai, CAO Ji, CHEN Xiao-Qun. A Hybrid Location Algorithm with Non-line of Sight Transmission Error Mitigation[J]. Computer Engineering, 2013, 39(7): 119-122.