摘要
提出了三种改进的用卡尔曼滤波器消除到达时间(Time of Arrival, TOA)测量值中非视距(Non-Line ofSight, NLOS)误差的方法。这三种方法从不同角度考察 TOA 测量值中 NLOS 误差的特点,分别对卡尔曼滤波器的迭代过程进行改进,有效地消除了 TOA 测量值中 NLOS 误差的随机性和正向偏差。与传统的 NLOS 误差消除算法相比,这三种方法均可获得较小的估计误差,并可实现实时处理。
Three methods of mitigating the NLOS (non-line of sight) error in TOA (time of arrival) measurements were proposed, all of which were performed by Kalman filter. In the three methods, the iterative process of Kalman filter was modified in different ways according to the characteristics of the NLOS error in TOA measurements. Simulations showed that these methods could eliminate the random noise and the positive bias of the NLOS error in TOA measurements. Compared with the traditional algorithms of NLOS error mitigation, the proposed methods can obtain higher accuracy and realtime processing.
出处
《通信学报》
EI
CSCD
北大核心
2005年第1期130-135,141,共7页
Journal on Communications
基金
国家自然科学基金资助项目(60372031)
东南大学移动通信国家重点实验室开放基金资助项目(A0401)
