Parafac based blind estimation of MIMO systems with possibly more inputs than outputs

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

15 Scopus citations

Abstract

We consider the problem of frequency domain identification of a convolutive multiple-input multiple-output (MIMO) system driven by white, mutually independent unobservable inputs. In particular, we improve upon a method recently proposed in [1] that uses PARAFAC decomposition of a tensor that is formed based on third-order statistics of the system output. The approach of [1] utilizes only one slice of the output tensor to recover one row of the system response matrix. We here propose an approach that fully exploits the information in the output tensor. As a result, the proposed method not only achieves lower error values but also becomes applicable to MIMO systems with possibly more inputs than outputs. By combing two output tensors, we can make the approach applicable to more systems. We also extend the method to employ fourth-order statistics of the system output.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesIII133-III136
StatePublished - 2006
Externally publishedYes
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Country/TerritoryFrance
CityToulouse
Period5/14/065/19/06

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Blind estimation
  • High-order statistics
  • MIMO
  • PARAFAC decomposition

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