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Two-dimensional multiple-snapshot grid-free compressive beamforming

机译:二维多快照无网格压缩波束成形

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摘要

Compressive beamforming with planar microphone arrays can effectively achieve the two-dimensional direction-of-arrival (DOA) estimation and strength quantification of acoustic sources. This paper focuses on developing a multiple-snapshot grid-free method and comparing it against the existing grid-based and single-snapshot grid-free ones. The minimization of the atomic norm of multiple-snapshot microphone pressure induced by acoustic sources and the matrix pencil and pairing method are utilized jointly. The former is utilized to denoise the measured pressure and therefore obtain the pressure from acoustic sources. The latter is utilized to estimate DOAs and quantify strengths. Both simulations and experiments demonstrate the advantages of the developed method. For sources that are active across multiple snapshots, it can overcome the basis mismatch conundrum of the grid-based compressive beamforming. When the sources are uncorrelated or partially correlated in both spatial and temporal dimensions, it outperforms the single-snapshot grid-free compressive beamforming in terms of denoising, DOA estimation and strength quantification accuracy and resolution. These advantages stand up whether a standard uniform rectangular array or a non-uniform array constituted by a small number of microphones is utilized. (C) 2019 Elsevier Ltd. All rights reserved.
机译:平面麦克风阵列的压缩波束成形可以有效地实现二维到达方向(DOA)估计和声源强度量化。本文着重于开发一种多快照无网格方法,并将其与现有的基于网格和单快照无网格方法进行比较。结合利用了由声源引起的多快照麦克风压力的原子范数的最小化以及矩阵笔和配对方法。前者用于对测得的压力进行降噪,从而从声源获得压力。后者用于估计DOA并量化强度。仿真和实验都证明了该方法的优点。对于跨多个快照处于活动状态的源,它可以克服基于网格的压缩波束形成的基本不匹配难题。当源在空间和时间维度上不相关或部分相关时,在去噪,DOA估计以及强度量化的准确性和分辨率方面,其性能优于单快照无网格压缩波束形成。无论利用标准的均匀矩形阵列还是由少量麦克风构成的非均匀阵列,这些优点都得到了体现。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2019年第1期|524-540|共17页
  • 作者单位

    Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China|Chongqing Ind Polytech Coll, Fac Vehicle Engn, Chongqing 401120, Peoples R China;

    Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China|Chongqing Univ, Coll Automot Engn, Chongqing 400044, Peoples R China;

    Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China|Chongqing Univ, Coll Automot Engn, Chongqing 400044, Peoples R China;

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

    Compressive beamforming; Two-dimensional; Grid-free; Multiple-snapshot;

    机译:压缩波束成形;二维;无网格;多次快照;

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