Low-complexity blind beamforming based on cyclostationarity

Zhang Wei, Wei Liu

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

3 Citations (Scopus)

Abstract

A blind adaptive beamformer with real-valued weights for cyclostationary signals is proposed by introducing a preprocessing stage. It is proved that the optimum weight vector of the proposed method is real-valued. Thus we can discard the imaginary part of the weight vector during the update process, which reduces the computational complexity of the algorithm. Moreover, since the optimum solution is real-valued, a result closer to the optimum one is reached, leading to a much increased convergence rate.

Original languageEnglish
Title of host publicationProceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1-5
Number of pages5
ISBN (Print)9781467310680
Publication statusPublished - Aug 2012
Event20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest, Romania
Duration: 27 Aug 201231 Aug 2012

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference20th European Signal Processing Conference, EUSIPCO 2012
Country/TerritoryRomania
CityBucharest
Period27/08/1231/08/12

Keywords

  • Blind beamforming
  • cyclostationarity
  • linear array
  • real-valued
  • self-coherent restoral (SCORE)

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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