这种滤波和其他预测性滤波一样，可以通过模型方程由测量空间递推得到状态空间。
As other predictive filters, state space is recursively got from measure space with system model by using the Particle filter.
采用最佳固定滞后平滑的时间向前递推的算法，对所建立的系统数学模型求解，得出了最佳固定滞后平滑滤波的一组方程。
A set of equations of optimal fixed-lag smoothing filter are obtained by using optimal fix-lag smooth time forward-recurrence algorithm and solving the built system mathematic model.
结论得到了该系统状态的最优预测和滤波递推方程。
Conclusion Optimal recursive estimation for predicting and filtering of state for this singular system are obtained.
结论得到了该系统状态的最优预测和滤波递推方程。
Conclusion Optimal recursive estimation for predicting and filtering of state for this singular system are obtained.
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