【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。更多还原

【Abstract】 Adaptive filtering algorithm is introduced when system model and noise statistical characteristics are known.By adjusting the forgetting factor,system noise and observation noise are estimated and corrected online.Simulation results show that the adaptive filter is better than the Kalman filter in accuracy and stability.更多还原