Adaptive beamformer is very sensitive to model mismatch, especially when the signal-of-interest is present in the training data. In this paper, we focus on the topic of robust adaptive beamforming (RAB) based on interference-plus-noise covariance matrix (INCM) reconstruction. First, we analyze the effectiveness of several INCM reconstruction schemes, and particularly analyze the impacts of interference power estimation on RAB. Second, according to the analysis results, we develop a simplified algorithm to estimate the interference powers, and a RAB algorithm based on INCM reconstruction is then presented. Compared with some existing methods, the proposed algorithm simplifies the interference power estimation of INCM reconstruction. Aligned with our analysis, simulation results demonstrate that the overestimation of interference powers hardly degrades the performance of adaptive beamforming, and our proposed algorithm achieves nearly optimal performance across a wide range of signal-to-noise ratios.

中文翻译：

---

通过简化的干扰功率估计实现稳健的自适应波束成形

自适应波束成形器对模型失配非常敏感，尤其是当训练数据中存在感兴趣的信号时。在本文中，我们专注于基于干扰加噪声协方差矩阵 (INCM) 重建的鲁棒自适应波束成形 (RAB) 主题。首先，我们分析了几种INCM重建方案的有效性，特别分析了干扰功率估计对RAB的影响。其次，根据分析结果，我们提出了一种估计干扰功率的简化算法，然后提出了一种基于INCM重构的RAB算法。与现有的一些方法相比，该算法简化了INCM重建的干扰功率估计。与我们的分析一致，