基于Kalman滤波器和遗传算法的参数估计方法  

Parameter Estimation:Based on Kalman Filter and Genetic Algorithm

作　　者：万国庆[1] 

机构地区：[1]常州工学院电子信息与电气工程学院,江苏常州213002

出　　处：《常州工学院学报》2004年第4期52-54,共3页Journal of Changzhou Institute of Technology

摘　　要：提出了一种基于Kalman滤波器和遗传算法的系统参数估计方法,可以对带测量噪声和过程噪声的线性系统中的未知参数进行有效估计。理论分析和数据仿真表明,此方法能较好地处理已知数据中的噪声,并且能应用于系统未知参数存在较复杂关联的情况。A system parameter estimation method which is based on Kalman filter and genetic algorithm is proposed in this paper. This method can estimate effectively the unknown parameters in linear systems with measurement noise and process noise. Theoretical analysis and data simulation show that this method can handle the noise in the data in a better way and can also be used in the systems whose unknown parameters have complicated relationships.

关 键 词：KALMAN滤波器 遗传算法 参数估计 过程噪声 测量噪声 

分 类 号：TN713[电子电信—电路与系统]