Blind equalization using matrix momentum and natural gradient adaptation

G.H. Morison, T.S. Durrani

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this paper the problem of single input multiple output (SIMO) and multiple input multiple output (MIMO) blind equalization in a frequency selective environment is addressed using blind source separation techniques. A robust whitening stage is included to reduce the effects of noise enhancement that traditional prewhitening methods suffer, and the use of matrix momentum with the natural gradient algorithm is utilised to improve the computation efficiency of the standard natural gradient algorithm. The performance of the algorithm is demonstrated for an ill conditioned channel and compared with a current natural gradient based blind equalization using source separation method.

Original languageEnglish
Pages439-448
Number of pages10
DOIs
Publication statusPublished - Sep 2003
Event2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03 - Toulouse, France
Duration: 17 Sep 200319 Sep 2003

Conference

Conference2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03
CountryFrance
CityToulouse
Period17/09/0319/09/03

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Keywords

  • blind equalizers
  • source separation
  • sensor arrays
  • noise robustness
  • MIMO
  • frequency
  • filtering
  • equations
  • delay
  • blind source separation
  • blind equalization
  • matrix momentum
  • natural gradient adaptation

Cite this

Morison, G. H., & Durrani, T. S. (2003). Blind equalization using matrix momentum and natural gradient adaptation. 439-448 . Paper presented at 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03, Toulouse, France. https://doi.org/10.1109/NNSP.2003.1318043