On the sparse beamformer design

Mingjie Gao, Ka Fai Cedric Yiu, Sven Nordholm

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

In designing acoustic broadband beamformers, the complexity can grow significantly when the number of microphones and the filter length increase. It is advantageous if many of the filter coefficients are zeroes so that the implementation can be executed with less computation. Moreover, the size of the array can also be pruned to reduce complexity. These problems are addressed in this paper. A suitable optimization model is proposed. Both array pruning and filter thinning can be solved together as a two-stage optimization problem to yield the final sparse designs. Numerical results show that the complexity of the designed beamformers can be reduced significantly with minimal effect on performance.

Original languageEnglish
Article number3536
JournalSensors (Switzerland)
Volume18
Issue number10
DOIs
Publication statusPublished - 19 Oct 2018

Keywords

  • Array pruning
  • Beamformer design
  • Signal enhancement
  • Sparse filters

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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