The Capon beamformer has excellent resolution and interference suppression capability but due to various attributes of practical environment such as inaccurate and/or insufficient information about the source, transmission medium and antenna array its performance deteriorates. To enhance its performance various efforts have been devoted and one effective method is presented here. In this paper, a novel and efficient robust Capon beamformer is devised which is based on proximal gradient method (PGRCB) and the robustness is achieved through remodeling the optimization problem of standard Capon beamformer (SCB). In the proposed PGRCB, the proximal gradient method is used to formulate a new optimization problem in order to obtain the optimum weights of the robust beamformer. The proposed method can achieve better performance as compared to some recent methods in the literature and its effectiveness is verified by the simulation results.

中文翻译：

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基于近端梯度方法的鲁棒 Capon 波束成形对抗大 DOA 失配

Capon 波束成形器具有出色的分辨率和干扰抑制能力，但由于实际环境的各种属性，例如有关源、传输介质和天线阵列的信息不准确和/或不足，其性能会下降。为了提高其性能，人们付出了各种努力，这里介绍了一种有效的方法。本文设计了一种基于近端梯度法（PGRCB）的新型高效鲁棒 Capon 波束成形器，其鲁棒性是通过重构标准 Capon 波束成形器（SCB）的优化问题来实现的。在所提出的 PGRCB 中，使用近端梯度法来制定新的优化问题，以获得稳健波束形成器的最佳权重。