基于稳态Kalman滤波器和白噪声估值器,根据控制理论中的极点配置原理,提出了极点配置固定区间稳态Kalman平滑器和Wiener平滑器.它们避免了计算最优平滑初值,且通过配置平滑器的极点,可快速消除初始平滑估值的影响,因而它们具有在有限固定区间上的实用稳定性,仿真例子说明了它们的有效性. Based on the steady-state Kalman filter and white noise estimator, according to the principle of pole assignment in control theory, a stationary pole-fixed Kalman smoother and Wiener smoother are proposed, which can avoid the calculation of the optimal initial smoothed value Configuring the poles of the smoother quickly removes the effects of the initial smoothed estimate, so they have practical stability over a limited range of fixes, and simulation examples illustrate their effectiveness.