摘要
为消除地面雷达的系统误差和时间误差,提出了基于Unscented卡尔曼滤波(UKF)的三维空间地面雷达网的时空配准方法。该方法将系统误差、时间误差与目标运动模型组合在一个动态模型中,并用UKF方法进行估计。Monte-Carlo仿真表明:该方法能同时有效地估计雷达的系统误差、时间误差,同时得到目标航迹。
To correct systematic errors and time errors of ground based radar,a space-time registration algorithm of ground based radar networking in 3-dimension coordinate based on Unscented Kalman Filter (UKF)is suggested.The sensor sys- tematic errors and time errors were incorporated into an augmented dynamic model and UKF method was used to estimate both the errors and system state simultaneously.Simulations show the effectiveness of the proposed registration algorithm
出处
《现代雷达》
CSCD
北大核心
2008年第6期17-20,共4页
Modern Radar
基金
国家"十一五"预研项目
