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Robust Capon beamforming against large DOA mismatch

机译:强大的Capon波束成形技术可防止较大的DOA失配

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摘要

In the presence of significant direction-of-arrival (DOA) mismatch, existing robust Capon beamformers based on the uncertainty set of the steering vector require a large size of uncertainty set for providing sufficient robustness against the increased mismatch. Under such circumstance, however, their output signal-to-interference-plus-noise ratios (SINRs) degrade. In this paper, a new robust Capon beamformer is proposed to achieve robustness against large DOA mismatch. The basic idea of the proposed method is to express the estimate of the desired steering vector corresponding to the signal of interest (SOI) as a linear combination of the basis vectors of an orthogonal subspace, then we can easily obtain the estimate of the desired steering vector by rotating this subspace. Different from the uncertainty set based methods, the proposed method does not make any assumptions on the size of the uncertainty set. Thus, compared to the uncertainty set based robust beamformers, the proposed method achieves a higher output S1NR performance by preserving its interference-plus-noise suppression abilities in the presence of large DOA mismatch. In addition, computationally efficient online implementation of the proposed method has also been developed. Computer simulations demonstrate the effectiveness and validity of the proposed method.
机译:在存在严重的到达方向(DOA)失配的情况下,基于操纵矢量的不确定性集的现有鲁棒Capon波束形成器需要较大的不确定性集,以提供足够的鲁棒性来应对增加的失配。但是,在这种情况下,它们的输出信噪比(SINR)会下降。在本文中,提出了一种新的鲁棒Capon波束形成器,以实现针对大DOA不匹配的鲁棒性。所提出方法的基本思想是将与感兴趣信号(SOI)对应的期望转向矢量的估计表示为正交子空间的基本矢量的线性组合,然后我们可以轻松地获得期望转向的估计通过旋转此子空间的向量。与基于不确定性集的方法不同,所提出的方法不对不确定性集的大小做任何假设。因此,与基于不确定性集的鲁棒波束形成器相比,该方法通过在存在较大DOA失配的情况下保留其干扰加噪声抑制能力,从而获得更高的输出S1NR性能。此外,还开发了计算效率高的在线实施方法。计算机仿真证明了该方法的有效性和有效性。

著录项

  • 来源
    《Signal processing》 |2013年第4期|804-810|共7页
  • 作者

    Wei Zhang; Ju Wang; Siliang Wu;

  • 作者单位

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China,Communications Research Croup, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK;

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    capon beamformer; robust adaptive beamformer; DOA mismatch; robustness;

    机译:卡彭波束形成器;鲁棒的自适应波束形成器;DOA不匹配;健壮性;

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