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/Territory	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

Cite this

@conference{73bd1c5350074f5680a731db3bdd643d,

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. ",

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

author = "G.H. Morison and T.S. Durrani",

year = "2003",

month = sep,

doi = "10.1109/NNSP.2003.1318043",

language = "English",

pages = "439--448 ",

note = "2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03 ; Conference date: 17-09-2003 Through 19-09-2003",

}

TY - CONF

T1 - Blind equalization using matrix momentum and natural gradient adaptation

AU - Morison, G.H.

AU - Durrani, T.S.

PY - 2003/9

Y1 - 2003/9

N2 - 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.

AB - 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.

KW - blind equalizers

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

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

U2 - 10.1109/NNSP.2003.1318043

DO - 10.1109/NNSP.2003.1318043

M3 - Paper

SP - 439

EP - 448

T2 - 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03

Y2 - 17 September 2003 through 19 September 2003

ER -

Blind equalization using matrix momentum and natural gradient adaptation

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this