太原理工大学学报2012，Vol.43Issue(5)：575-579,5.
一种基于扩展Kalman滤波的多径估计算法
A Multipath Estimation Algorithm Based on Extended Kalman Filter
摘要
Abstract
In positioning system, multipath estimation in noisy environment is the precondition of multipath elimination. A multipath estimation algorithm based on extended Kalmna filter was proposed, which can estimate the multipath time delay and multipath amplitude effectively. The influence of estimation error of local code, the initial value of extended Kalman filter (EKF) , the correlator spacing and the sampling frequency was analyzed in this paper. The simulation results show that the initial value of EKF influenced the convergence rate, and the amplitude value in initial value determined the convergence of EKF. Furthermore, the estimation error of multipath time delay was reduced by increasing sampling frequency and the maximum early-late spacing of local code.关键词
定位系统/多径/扩展Kalman滤波/参数估计Key words
Positioning system/ multipath/ extended Kalman filter/ parameter estimation分类
天文与地球科学引用本文复制引用
程兰,谢刚..一种基于扩展Kalman滤波的多径估计算法[J].太原理工大学学报,2012,43(5):575-579,5.基金项目
太原科技局科技创业种子资金资助项目(111102) （111102）
