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.
提出了一种适用于空时自适应信号处理的子阵划分方法。
A subarray dividing approach to space time adaptive processing is presented.
雷达系统不可避免地存在通道幅相误差，导致空时自适应处理算法的性能下降。
The channel gain and phase errors are inevitable in radar systems and the result in performance degrading of space-time adaptive processing (STAP) algorithm.
所得结果有助于研究基于前视圆面阵的空时自适应处理。
The results obtained are helpful to research STAP based on forward looking circular planar array antennas.
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.
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.
智能天线技术是将自适应天线阵列和空时二维处理相结合，形成同时具有空时处理能力的天线。
The Smart antenna technique is the combination of adaptive antenna array with Space-Time Processing, which can deal with signal in space area and time area.
该文针对机载MIMO雷达杂波抑制问题，提出一种低复杂度的空时自适应处理(STAP)方法。
A computationally efficient Space-Time Adaptive Processing (STAP) method for clutter suppression in airborne MIMO radar is proposed.
该文针对机载MIMO雷达杂波抑制问题，提出一种低复杂度的空时自适应处理(STAP)方法。
A computationally efficient Space-Time Adaptive Processing (STAP) method for clutter suppression in airborne MIMO radar is proposed.
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