摘要
为实时估计多传感器系统偏差,针对广义最小二乘(GLS)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多传感器误差估计方法,该方法在GLS配准模型基础上,采用最小二乘的序贯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。仿真结果表明了该方法的有效性。
To estimate systemic errors of multi-sensors in real-time, the registration algorithm based on recursive least squares （RLS） for multi-sensors is presented, concerning for the generalized least-squares estimation （GLS） algorithm being not used for estimating sensors error in real-time. The RLS is employed for estimating systematic error in this algorithm, based on the GLS registration model, and the errors are 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
《传感器与微系统》
CSCD
北大核心
2007年第8期99-101,共3页
Transducer and Microsystem Technologies
关键词
多传感器
误差
配准
序贯最小二乘
multi-sensors
error
registration
recursive least squares （RLS）
