摘要
在系统模型和噪声统计特性不确定的情况下,引入了自适应滤波算法,通过调整遗忘因子,实时地对系统噪声和观测噪声进行在线估计和修正。仿真结果表明,自适应滤波效果优于Kalman滤波。
Adaptive filtering algorithm is characteristics are known. By adjusting the estimated and corrected online. Simulation Kalman filter in accuracy and stability. introduced when system model and noise forgetting factor, system noise and observation results show that the adaptive filter is better statistical noise are than the
出处
《长春工业大学学报》
CAS
2015年第6期687-691,共5页
Journal of Changchun University of Technology
