Pole-Assignment Fixed-Interval Kalman Smoother and Wiener Smoother^1）
摘要
Based on steady-state Kalman filter and white noise estimators, and according to thepole-assignment principle of the control theory, the pole-assignment fixed-interval steady-stateKalman smoother and Wiener smoother are presented. They avoid computation of the initial opti-mal smoothing estimates and can rapidly eliminate the effects of the initial smoothing estimates byassigning the poles of the smoothers, so that they have a practical stability in the finite fixed inter-val. A simulation example shows their effectiveness.
引用本文（GB/T 7714）
SUNShu-Li, DENGZi-Li. Pole-Assignment Fixed-Interval Kalman Smoother and Wiener Smoother^1）[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2004.
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