摘要
为实时估计雷达网系统偏差,针对广义最小二乘配准方法不能实时估计传感器偏差的问题,提出了基于序贯最小二乘的雷达网误差估计方法,该方法在广义最小二乘配准模型基础上,采用序贯最小二乘方法来估计系统偏差,不必存储过去的测量数据,能够实时估计系统偏差.仿真表明该方法的有效性。
To estimate systematic error of radar network in real-time, the registration algorithm based on the recursive least squares (RLS) for radar network was presented, concerning for the generalized least-squares estimation (GLS) algorithm being not used for estimating sensor error in real-time. The RLS was employed for estimating systematic error in this algorithm, based on the GLS registration model, and the error was estimated in real-time while the previously measured data didn't need to be stored. By simulations it shows that the algorithm is effective.
出处
《空军雷达学院学报》
2007年第2期85-87,共3页
Journal of Air Force Radar Academy
关键词
雷达网
配准
序贯最小二乘
radar network
registration
recursive least squares (RLS)