To ensure signal receiving quality, robust adaptive beamforming (RAB) is of vital importance in modern communications. In this letter, we propose a new low-complexity RAB approach based on interference-plus-noise covariance matrix (IPNC) reconstruction and steering vector (SV) estimation. In this method, the IPNC and desired signal covariance matrices are reconstructed by estimating all interference powers as well as the desired signal power using the principle of maximum entropy power spectrum (MEPS). Numerical simulations demonstrate that the proposed method can provide superior performance to several previously proposed beamformers.

中文翻译：

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鲁棒自适应波束成形的基于最大熵的干扰加噪声协方差矩阵重建

为了确保信号接收质量，稳健的自适应波束成形 (RAB) 在现代通信中至关重要。在这封信中，我们提出了一种基于干扰加噪声协方差矩阵 (IPNC) 重建和导向向量 (SV) 估计的新的低复杂度 RAB 方法。在该方法中，通过使用最大熵功率谱 (MEPS) 原理估计所有干扰功率和所需信号功率，重建 IPNC 和所需信号协方差矩阵。数值模拟表明，所提出的方法可以提供优于先前提出的几种波束形成器的性能。