A minimum variance beamformer with linear and quadratic constraints based on uniform linear antenna arrays

Lei Zhang, Wei Liu, Richard J. Langley

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

8 Citations (Scopus)

Abstract

A novel adaptive beamforming algorithm is proposed based on a uniformly spaced linear antenna array by constraining its weight vector to a specific conjugate symmetric form. Two sets of constraints (linear and quadratic) are imposed on the beamformer while minimizing its output variance. Compared to the traditional linearly constrained minimum variance (LCMV) beamforming algorithm, the proposed one can achieve a faster convergence speed and a higher steady state SINR (signal to interference plus noise ratio) and is less sensitive to the change of its stepsize in terms of the final output SINR. Simulation results verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationLoughborough Antennas and Propagation Conference, LAPC 2009 - Conference Proceedings
Pages585-588
Number of pages4
DOIs
Publication statusPublished - Dec 2009
EventLoughborough Antennas and Propagation Conference, LAPC 2009 - Loughborough, United Kingdom
Duration: 16 Nov 200917 Nov 2009

Publication series

NameLoughborough Antennas and Propagation Conference, LAPC 2009 - Conference Proceedings

Conference

ConferenceLoughborough Antennas and Propagation Conference, LAPC 2009
Country/TerritoryUnited Kingdom
CityLoughborough
Period16/11/0917/11/09

Keywords

  • Adaptive beamforming
  • Conjugate symmetric
  • Lagrange multiplier
  • LCMV beamformer
  • Uniform linear array

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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