ZHAO Jie1, JIANG Jing2, ZHOU Yang-jing1, et al. RLS-based registration algorithm for multi-sensors[J]. 2007, (8): 99-101. DOI: 10.13873/j.1000-97872007.08.026.
基于序贯最小二乘的多传感器误差配准方法
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。
Abstract
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.