Sparse space-time equalization with L1 norm

Laura C. Slivinski, Adam R. Margetts, Daniel W. Bliss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Space-time adaptive equalizers are an important part of multiple-input multiple-output (MIMO) communication systems operating in multi-path environments. Traditional methods of producing adaptive equalizers using short training sequence lengths suffer performance loss, and do not take advantage of known properties of the channel, such as sparsity. We discuss an iterative shrinkage algorithm which utilizes the ℓ 1 norm as a procedure to estimate a sparse equalizer. We present simulation results of this algorithm and make comparisons to traditional methods.

Original languageEnglish (US)
Title of host publicationConference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Pages1564-1568
Number of pages5
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
CountryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Slivinski, L. C., Margetts, A. R., & Bliss, D. W. (2011). Sparse space-time equalization with L1 norm. In Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 (pp. 1564-1568). [6190282] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2011.6190282