High-resolution source localization exploiting the sparsity of the beamforming map

Xinghao Ding, Hao Liang, Andreas Jakobsson, Xiaotong Tu, Yue Huang

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review


Beamforming technology plays a significant role in source localization and quantification. As traditional delay-and-sum beamformers generally yield low spatial resolution, as well as suffer from the occurrence of spurious sources, different forms of deconvolution methods have been proposed in the literature. In this work, we propose two approaches based on a sparse reconstruction framework combined with the use of the Fourier-based efficient implementation techniques. Numerical simulations and experimental data analysis show the effectiveness and advantages of the proposed methods.

TidskriftSignal Processing
StatusPublished - 2022 mar

Bibliografisk information

Publisher Copyright:
© 2021 Elsevier B.V.

Ämnesklassifikation (UKÄ)

  • Signalbehandling


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