Beamspace transformation for data reduction using genetic algorithms

M. Li, E.K. Ho, G. Hayward

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Estimation of the incident waveform directions, or direction of arrival (DOA) estimation, is an essential problem in sonar array processing. A sonar array usually consists of a large number of elements, and the associated data processing complexity is extensive. An approach to reduce the computation is to map the data from full-dimension element space into a lower dimension beam space, through a linear transformation prior to signal processing. In this paper, a new algorithm for designing beam space transformation with interference suppression is proposed. This approach optimizes in-sector estimation accuracy and out-of-sector interference rejection capabilities simultaneously and yields superior beam space DOA estimates with significantly reduced computation load.
Original languageEnglish
Pages702-705
Number of pages4
DOIs
Publication statusPublished - 20 Sep 2009
Event2009 IEEE Ultrasonics Symposium - Rome, Italy
Duration: 20 Sep 200923 Sep 2009

Conference

Conference2009 IEEE Ultrasonics Symposium
CountryItaly
CityRome
Period20/09/0923/09/09

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Keywords

  • array signal processing
  • data reduction
  • direction-of-arrival estimation
  • genetic algorithms
  • sonar arrays
  • sonar signal processing
  • accurate target discrimination
  • beamspace transformation

Cite this

Li, M., Ho, E. K., & Hayward, G. (2009). Beamspace transformation for data reduction using genetic algorithms. 702-705. Paper presented at 2009 IEEE Ultrasonics Symposium, Rome, Italy. https://doi.org/10.1109/ULTSYM.2009.5442004