摘要
非视距传播已经成为制约蜂窝网络定位的主要障碍。为了抑制和减少非视距传播引起的位置估计误差,提出了一种稳健估计的移动台定位算法———基于最大似然估计的位置估计算法,不需要先验NLOS误差统计特性和时序测量等前提条件,抑制NLOS误差的影响。通过跟传统的最小-均方算法(ordinaryleastsquare)比较,仿真结果表明这种算法有效地提高了在非视距环境下的定位精度。
Estimation of mobile station location is made difficultly by non-symmetric contamination of measured time of arrival (TOA) data caused by non-line-of-sight (NLOS) propagation effects. A novel robust position estimation algorithm is proposed to reduce the effects of NLOS propagation on the location error. Simulation results show the improvement in location accuracy over current L-S algorithm in different channel environments.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第2期232-233,259,共3页
Systems Engineering and Electronics
关键词
到达时间
非视距环境
最大似然估计
time of arrival (TOA)
non-line-of-sight (NLOS) environment
maximum likelihood estimation