电讯技术2017，Vol.57Issue(8)：923-931,9.DOI:10.3969/j.issn.1001-893x.2017.08.012
基于IMM-EKF的高动态"北斗冶导航信号频率估计算法
An IMM-EKF Based Frequency Estimation Algorithm for High Dynamic BDS Signals
施又木 1王元钦 2闫迪1
作者信息
- 1. 装备学院 光电装备系,北京101416
- 2. 装备学院 科研部,北京101416
- 折叠
摘要
Abstract
The Beidou navigation satellite system( BDS) signal incorporates a large Doppler frequency and its rate of change in the presence of high dynamics. The traditional phase-locked loop(PLL) is incapable of tracking it with high accuracy. According to the analysis of the BDS signal model under high dynamic circum-stances,an adaptive interacting multiple model-extended Kalman filter( IMM-EKF) algorithm is proposed to estimate the phase and its high order derivatives. In IMM-EKF algorithm,several tracking models are used to deal with the inaccuracy of one single model. Combined with improved Sage-Husa algorithm,it is able to on-line estimate and adjust the statistical properties of measurement noise and process noise. Simulation results indicate that this algorithm is more accurate and stable than traditional PLL and EKF.关键词
"北斗"卫星导航系统/频率估计/高动态/Sage-Husa算法/自适应滤波Key words
Beidou navigation satellite system( BDS)/frequency estimation/high dynamic/Sage-Husa al-gorithm/adaptive filter分类
信息技术与安全科学引用本文复制引用
施又木,王元钦,闫迪..基于IMM-EKF的高动态"北斗冶导航信号频率估计算法[J].电讯技术,2017,57(8):923-931,9.
