However, the major problem of the MVB is that it lacks robustness when there are unknown array steering vector errors.
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。
In this paper, a novel approach of doubly robust adaptive beam formation (RABF) is proposed in order to improve the robustness against finite-sample effects and steering vector errors.
提出了一种具有双重鲁棒性的自适应波束形成算法，以克服有限采样效应和方向矢量误差引起的波束性能下降。
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.
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。
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