Low-complexity narrowband adaptive beamforming based on symmetrically distributed arrays

Lei Zhang, Wei Liu, Richard J. Langley

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

1 Citation (Scopus)

Abstract

Based on the symmetrically distributed array (SDA) structure and the resultant generalised conjugate symmetric property of its optimum weight vector, a transformation matrix is introduced to preprocess the received array data, after which the original complex-valued optimum weight vector is reduced to a real-valued one, so that in the following weight adaptation we can simply remove imaginary part of the weight vector. As a result of this regularization, improved performance is achieved with much lower computational complexity. There is an undetermined phase factor in the transformation matrix and two different cases are studied with beamforming examples provided for each case, supported by simulation results.

Original languageEnglish
Title of host publicationWireless Sensing, Localization, and Processing VI
DOIs
Publication statusPublished - May 2011
EventWireless Sensing, Localization, and Processing VI - Orlando, FL, United States
Duration: 28 Apr 201129 Apr 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8061
ISSN (Print)0277-786X

Conference

ConferenceWireless Sensing, Localization, and Processing VI
Country/TerritoryUnited States
CityOrlando, FL
Period28/04/1129/04/11

Keywords

  • beamforming
  • conjugate symmetric
  • real-valued
  • Symmetrically distributed array
  • transformation
  • uniform linear array
  • uniform rectangular array

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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