Improved parafac based blind mimo system estimation

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

1 Scopus citations

Abstract

We consider the problem of frequency domain identification of a multiple-input multiple-output (MIMO) system driven by white, mutually independent unobservable inputs. In particular, we improve upon a method recently proposed by the authors [1] that uses PARAFAC decomposition of a tensor that is formed based on higher-order statistics of the system output. The approach of [1] utilizes only one slice of the output tensor at each time. We here proposed an approach that fully exploits the information in the output tensor, and as a result achieves lower error values. The proposed approach can also be applied to systems with more inputs than outputs.

Original languageEnglish (US)
Title of host publicationConference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages1010-1013
Number of pages4
StatePublished - 2005
Externally publishedYes
Event39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Oct 28 2005Nov 1 2005

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2005

Other

Other39th Asilomar Conference on Signals, Systems and Computers
Country/TerritoryUnited States
CityPacific Grove, CA
Period10/28/0511/1/05

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Keywords

  • Blind channel estimation
  • High-order spectra
  • PARAFAC decomposition

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