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.
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.
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.
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.
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.
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.
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