Sparse microphone array design for wideband beamforming

Matthew B. Hawes, Wei Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

18 Citations (Scopus)

Abstract

The sparse wideband sensor/microphone array design problem is highly nonlinear and it is traditionally solved by genetic algorithms, simulated annealing or other similar optimization methods. This is an extremely time-consuming process and an optimum solution is not guaranteed. In this work, this problem is studied from the viewpoint of compressive sensing (CS) and a CS-based method is provided. Although there have been CS-based methods proposed for the design of narrowband arrays, its extension to the wideband case is not straightforward, as there are multiple coefficients associated with each sensor/microphone and it is not sufficient to simply minimize the l1 norm of the weight coefficients to obtain a sparse array solution. To achieve this, a modified l1 norm minimization method is derived and its effectiveness is verified by design examples.

Original languageEnglish
Title of host publication2013 18th International Conference on Digital Signal Processing, DSP 2013
DOIs
Publication statusPublished - Oct 2013
Event2013 18th International Conference on Digital Signal Processing, DSP 2013 - Santorini, Greece
Duration: 1 Jul 20133 Jul 2013

Publication series

Name2013 18th International Conference on Digital Signal Processing, DSP 2013

Conference

Conference2013 18th International Conference on Digital Signal Processing, DSP 2013
Country/TerritoryGreece
CitySantorini
Period1/07/133/07/13

Keywords

  • Compressive sensing
  • Microphone array
  • Sparse array
  • Wideband beamforming

ASJC Scopus subject areas

  • Signal Processing

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