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BDS导航信号抗电离层闪烁载波跟踪的自适应卡尔曼滤波算法
引用本文:孙鹏跃,唐小妹,陈华明,孙广富.BDS导航信号抗电离层闪烁载波跟踪的自适应卡尔曼滤波算法[J].国防科技大学学报,2016,38(3):25-31.
作者姓名:孙鹏跃  唐小妹  陈华明  孙广富
作者单位:国防科学技术大学 电子科学与工程学院,国防科学技术大学 电子科学与工程学院,国防科学技术大学 电子科学与工程学院,国防科学技术大学 电子科学与工程学院
基金项目:国家自然科学基金资助项目(61403413)
摘    要:电离层闪烁会引起导航信号幅度和相位的快速衰落,严重影响跟踪环路的精度和稳健性,而相比频率跟踪和伪码跟踪,载波跟踪环路更易受电离层闪烁的影响而失锁。因此,提出一种基于相位锁定指示自适应扩展卡尔曼滤波的北斗导航信号抗电离层闪烁载波跟踪算法,其以同相与正交支路的积分结果估计相位锁定指示值,并采用该指示作为控制参数对不同闪烁场景下扩展卡尔曼滤波的观测向量进行自适应调整,这不仅能够提高跟踪环路的精度和稳健性,而且能够降低扩展卡尔曼滤波发散的概率。实验结果验证了相关分析和所提跟踪算法的有效性。

关 键 词:电离层闪烁  相位锁定指示  自适应扩展卡尔曼滤波  鉴相误差  失锁概率  
收稿时间:2015/12/30 0:00:00

Adaptive Extended Kalman Filter Carrier Tracking Algorithm for BeiDou Signals under Ionosphere Scintillation Conditions
SUN Pengyue,TANG Xiaomei,CHEN Huaming and SUN Guangfu.Adaptive Extended Kalman Filter Carrier Tracking Algorithm for BeiDou Signals under Ionosphere Scintillation Conditions[J].Journal of National University of Defense Technology,2016,38(3):25-31.
Authors:SUN Pengyue  TANG Xiaomei  CHEN Huaming and SUN Guangfu
Institution:College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China,College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China,College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China and College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
Abstract:Ionospheric scintillation is a rapid change in the phase and amplitude of GNSS signals, resulting in degraded accuracy and robustness of signal tracking loops. Compared with the frequency lock loop and delay lock loop, phase lock loop is much weaker, and would lose lock much more continually in scintillation. This paper proposes a carrier tracking algorithm for BeiDou signals scintillation mitigation based on adaptive extended Kalman (EKF) filter. The integration of I and Q channels are used to estimate the phase lock indicator (PLI) values, which is the control parameter to adjust the measurement vector of EKF adaptively with different scintillation scenarios. Through the adaptive measurement vector, the accuracy and robustness of the proposed algorithm can be improved, and the probability of divergence can be decreased. Experimental results prove the validity of the analysis and the proposed carrier tracking algorithm.
Keywords:Ionospheric scintillation  Phase lock indicator  Adaptive extended Kalman filter  Discriminator error  Probability of loss-of-lock
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