There are two important factors that affect the performance of Space-Time Adaptive Processing(STAP), that are steering vector mismatch and covariance matrix mismatch.
导向矢量失配和协方差矩阵失配是影响空时自适应处理（STAP）性能的两大主要因素，基于在最差情况下的性能最优，提出了一种稳健的STAP算法。
The matrix includes the points of material introduction, the processing steps, and data needed to calculate the resonance time for WIP.
物料引入的点，加工步骤及相应的数据是计算WIP中的共振时间是必须的。
The data processing time-consumed by discernibility of matrix is predicted, and the feasibility of data mining experiment is forecasted.
推算可预知分辨矩阵法处理数据所消耗的时间，对数据挖掘实验的可行性进行预测。
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