与传统并行计算研究对象不同的是，空时自适应处理(STAP)的各阶段是由多个相同的、可分离的任务组成。

Different from traditional parallel computations algorithms, Space-Time Adaptive Processing (STAP) algorithms are composed of several phases and each phase consists of many identical, separable tasks.

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空时自适应处理(STAP)是机载和星载双基雷达中的关键技术。

Space-time adaptive processing (STAP) is an essential part of airborne or aerospace bistatic radar system signal processing.

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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。

There are two important factors that affect the performance of Space-Time Adaptive Processing(STAP), that are steering vector mismatch and covariance matrix mismatch.

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