Blind equalization using matrix momentum and natural gradient adaptation

G.H. Morison; T.S. Durrani

doi:10.1109/NNSP.2003.1318043

Blind equalization using matrix momentum and natural gradient adaptation

G.H. Morison, T.S. Durrani

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

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 language	English
Pages	439-448
Number of pages	10
DOIs	https://doi.org/10.1109/NNSP.2003.1318043
Publication status	Published - Sep 2003
Event	2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03 - Toulouse, France Duration: 17 Sep 2003 → 19 Sep 2003

Conference

Conference	2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03
Country	France
City	Toulouse
Period	17/09/03 → 19/09/03

Keywords

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

Access to Document

10.1109/NNSP.2003.1318043

http://cogsys.imm.dtu.dk/nnsp2003/

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Cite this

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title = "Blind equalization using matrix momentum and natural gradient adaptation",

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. ",

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AU - Durrani, T.S.

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KW - source separation

KW - sensor arrays

KW - noise robustness

KW - MIMO

KW - frequency

KW - filtering

KW - equations

KW - delay

KW - blind source separation

KW - blind equalization

KW - matrix momentum

KW - natural gradient adaptation

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