导出了累量域电磁矢量传感器及其阵列线性无关虚拟导向矢量个数的上界和下界。
The upper bound and the lower bound for the number of linear independent steering vectors are both derived.
然而，MVB算法的主要问题在于不具有鲁棒性，不能克服未知导向矢量误差的影响。
However, the major problem of the MVB is that it lacks robustness when there are unknown array steering vector errors.
该方法可直接获得导向矢量的闭式估计，并且该方法可适用于阵列远场、近场接收信号模型。
This method can obtain the estimation of the steering vector directly and is adaptive to both far field and near field models.
该方法根据空间约束和导向矢量误差约束获得相应的窄带滤波器，并利用其对Capon滤波矢量进行滤波得到谱估计。
The estimator utilizes constraints on both the subspace and the errors of steering vectors to design a narrow filter. The filter outputs the spectral estimate with the filtering vector as its input.
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.
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.
应用推荐