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Electrical Engineering and Systems Science > Audio and Speech Processing

arXiv:2401.02285 (eess)
[Submitted on 4 Jan 2024 ]

Title: Optimal Real-Weighted Beamforming With Application to Linear and Spherical Arrays

Title: 最优实权重波束成形及其在直线阵列和球面阵列中的应用

Authors:V. Tourbabin, M. Agmon, B. Rafaely, J. Tabrikian
Abstract: One of the uses of sensor arrays is for spatial filtering or beamforming. Current digital signal processing methods facilitate complex-weighted beamforming, providing flexibility in array design. Previous studies proposed the use of real-valued beamforming weights, which although reduce flexibility in design, may provide a range of benefits, e.g., simplified beamformer implementation or efficient beamforming algorithms. This paper presents a new method for the design of arrays with real-valued weights, that achieve maximum directivity, providing closed-form solution to array weights. The method is studied for linear and spherical arrays, where it is shown that rigid spherical arrays are particularly suitable for real-weight designs as they do not suffer from grating lobes, a dominant feature in linear arrays with real weights. A simulation study is presented for linear and spherical arrays, along with an experimental investigation, validating the theoretical developments.
Abstract: 传感器阵列的一个用途是空间滤波或波束成形。 当前的数字信号处理方法促进了复数加权波束成形,为阵列设计提供了灵活性。 以往的研究提出了使用实数值波束成形权重,尽管这在设计中减少了灵活性,但可能提供一系列优势,例如简化波束成形器的实现或高效的波束成形算法。 本文提出了一种用于设计具有实数值权重的阵列的新方法,该方法实现了最大方向性,并提供了阵列权重的闭式解。 该方法研究了线性阵列和球形阵列,结果表明刚性球形阵列特别适合实数权重设计,因为它们不会受到栅瓣的影响,这是具有实数权重的线性阵列的一个主要特征。 本文对线性阵列和球形阵列进行了仿真研究,并进行了实验验证,以验证理论成果。
Subjects: Audio and Speech Processing (eess.AS) ; Sound (cs.SD)
Cite as: arXiv:2401.02285 [eess.AS]
  (or arXiv:2401.02285v1 [eess.AS] for this version)
  https://doi.org/10.48550/arXiv.2401.02285
arXiv-issued DOI via DataCite
Journal reference: n IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 9, pp. 2575-2585, Nov. 2012
Related DOI: https://doi.org/10.1109/TASL.2012.2208626
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Submission history

From: Boaz Rafaely [view email]
[v1] Thu, 4 Jan 2024 14:06:43 UTC (11,534 KB)
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