由于系统方程是时变的，在测量过程中，系统噪声和观测噪声的统计特性等很难精确地估计或测定，事实上很多误差模型都不能简单的设为白噪声。
Because the system equation is changed with time, during the measurement, the statistic character of the system noise and the observation noise cannot be estimated or be determined accurately.
运用充分统计量法所述理论，可将观测空间由无限压缩至有限，当信号受到高斯白噪声的干扰时可用充分统计量表示被观测量的全部信息并检测出确知信号。
When the signal is interfered with white gaussian noise, the external information of the observed can be expressed by the plenitude statistic, and output signal can also be checked.
本文将具有不确定观测的ARMA信号滤波问题转化为具有不确定观测的状态空间模型的状态和白噪声滤波问题。
In this paper, the filtering problem for ARMA signal with uncertain observation is translated into that for state and white noise of the state space model with uncertain observation.
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