一种统一的稳态Kalman估值器
A UNIFIED STEADY STATE KALMAN ESTIMATORS
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摘要: 应用白噪声估计理论和现代时间序列分析方法,对于带相关噪声和观测时滞系统,基于ARMA新息模型提出了一种稳态Kalman估值器,可统一处理滤波、平滑和预报问题,且具有渐近稳定性.避免了解Riccati方程,便于实时应用.仿真例子说明了其有效性.Abstract: Using white noise estimation theory and modern time series analysis method, this paper presents a steady-state Kalman estimators based on the ARMA innovation model for systems with correlation noises and measurement delay,which can handle the filtering,smoothing and prediction problems in a unified framework,and can be applied in real time.A simulation example shows usefulness of the proposed estimators.