在卫星的状态估计过程中应用推广的序列估计算法，借助数值积分方法积分状态向量和协方差矩阵。
For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix.
基于状态空间分析，给出了连续随机信号建模的时间序列分析方法，并证明了参数估计的一致收敛性。
Based on the state space analysis, the time series analysis method for identification of the stochastic continuous signals, proved as consistent convergence, is given.
设计强跟踪滤波的思想是：使得残差序列在每一步相互正交，提取残差序列中所有有用的信息，用作对现时刻系统状态的估计。
The idea of the filter is to make discrepancy orthogonal at each step and get useful information from the discrepancy series as current state estimation.
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