Low-complexity constant modulus algorithms for blind 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

Abstract

A class of low-complexity constant modulus (CM) algorithms with real-valued coefficients is proposed based on symmetrically distributed arrays (SDAs) by introducing a preprocessing transformation matrix. It is derived from the beamformer with a minimum mean square error (MSE) and three representative CMAs are studied including the basic CMA, least-squares CMA (LSCMA) and the recursive-least-squares CMA (RLSCMA). With the preprocessing matrix, the computational complexity of the overall system is reduced significantly; moreover, a faster convergence speed is achieved and given the same stepsize, the system arrives at a lower MSE. Simulation results are provided to verify the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Pages385-388
Number of pages4
DOIs
Publication statusPublished - Jul 2011
Event2011 IEEE Statistical Signal Processing Workshop, SSP 2011 - Nice, France
Duration: 28 Jun 201130 Jun 2011

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings

Conference

Conference2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Country/TerritoryFrance
CityNice
Period28/06/1130/06/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

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