基于M-估计的抗欺骗卡尔曼滤波算法  

Kalman Filtering Algorithm for Anti-spoofing Based on M-estimation

作　　者：张晓明 刘磊 ZHANG Xiaoming;LIU Lei(Sainyu Hebei Electronic Technology Co.,Ltd.,Shijiazhuang 050091,China)

机构地区：[1]尚禹河北电子科技股份有限公司,河北石家庄050091

出　　处：《无线电工程》2022年第3期450-455,共6页Radio Engineering

基　　金：国家部委基金资助项目。

摘　　要：随着全球卫星导航系统的日益普及和各种电子技术的发展,欺骗干扰逐步成为卫星导航系统的一个重大威胁。针对卫星导航接收终端中的欺骗干扰抑制能力差的问题,提出了一种基于M-估计的抗欺骗扩展卡尔曼滤波算法,解决了小型导航接收终端在欺骗干扰环境下的导航定位问题。在传统卡尔曼滤波算法的基础上,结合稳健统计中的M-估计来调整扩展卡尔曼滤波的状态更新过程,消除了突发欺骗干扰对导航定位的影响,提升了接收机定位解算过程中的欺骗干扰抑制性能。仿真结果表明,算法能够较好地抑制欺骗干扰对导航定位精度的影响。With the increasing popularity of global satellite navigation system and the development of various electronic technologies,spoofing jamming has gradually become a major threat to satellite navigation system.To solve the problem of poor spoofing jamming suppression ability in satellite navigation receiving terminal,an anti-spoofing extended Kalman filtering algorithm based on Mestimation is proposed,which solves the navigation positioning problem of small navigation receiving terminal in spoofing jamming environment.Based on the traditional Kalman filtering algorithm,combined with the M-estimation algorithm of robust statistics,this method adjusts the state update process of extended Kalman filtering,eliminates the influence of sudden spoofing jamming on the navigation and positioning and improves the spoofing jamming suppression performance of receiver in the process of the positioning solution.The simulation results also show that the algorithm can suppress the influence of spoofing jamming on navigation and positioning accuracy.

关 键 词：卫星导航 欺骗干扰 卡尔曼滤波 M-估计 

分 类 号：TN961[电子电信—信号与信息处理]