An information theoretic approach to blind Multiple Access Interference suppression

Monica F. Bugallo; Joaquin Miguez; Luis Castedo

An information theoretic approach to blind Multiple Access Interference suppression

Monica F. Bugallo
, Joaquin Miguez
, Luis Castedo

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University of A Coruna

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper addresses the problem of blind interference cancellation in Direct Sequence Code Division Multiple Access (DS CDMA) systems. The Maximum Likelihood (ML) criterion is used to estimate the coefficients of a linear filter that suppresses both Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI). Block-iterative and adaptive algorithms based on the Space Alternating Generalized Expectation-Maximization (SAGE) approach are proposed and their performance is compared with existing Linearly Constrained Minimum Variance (LCMV) blind receivers.

Original language	English
Article number	7075326
Journal	European Signal Processing Conference
Volume	2015-March
Issue number	March
State	Published - Mar 31 2000
Event	2000 10th European Signal Processing Conference, EUSIPCO 2000 - Tampere, Finland Duration: Sep 4 2000 → Sep 8 2000

Cite this

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title = "An information theoretic approach to blind Multiple Access Interference suppression",

abstract = "This paper addresses the problem of blind interference cancellation in Direct Sequence Code Division Multiple Access (DS CDMA) systems. The Maximum Likelihood (ML) criterion is used to estimate the coefficients of a linear filter that suppresses both Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI). Block-iterative and adaptive algorithms based on the Space Alternating Generalized Expectation-Maximization (SAGE) approach are proposed and their performance is compared with existing Linearly Constrained Minimum Variance (LCMV) blind receivers.",

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T1 - An information theoretic approach to blind Multiple Access Interference suppression

AU - Bugallo, Monica F.

AU - Miguez, Joaquin

AU - Castedo, Luis

PY - 2000/3/31

Y1 - 2000/3/31

N2 - This paper addresses the problem of blind interference cancellation in Direct Sequence Code Division Multiple Access (DS CDMA) systems. The Maximum Likelihood (ML) criterion is used to estimate the coefficients of a linear filter that suppresses both Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI). Block-iterative and adaptive algorithms based on the Space Alternating Generalized Expectation-Maximization (SAGE) approach are proposed and their performance is compared with existing Linearly Constrained Minimum Variance (LCMV) blind receivers.

AB - This paper addresses the problem of blind interference cancellation in Direct Sequence Code Division Multiple Access (DS CDMA) systems. The Maximum Likelihood (ML) criterion is used to estimate the coefficients of a linear filter that suppresses both Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI). Block-iterative and adaptive algorithms based on the Space Alternating Generalized Expectation-Maximization (SAGE) approach are proposed and their performance is compared with existing Linearly Constrained Minimum Variance (LCMV) blind receivers.

UR - https://www.scopus.com/pages/publications/84937047371

M3 - Conference article

AN - SCOPUS:84937047371

SN - 2219-5491

VL - 2015-March

JO - European Signal Processing Conference

JF - European Signal Processing Conference

IS - March

M1 - 7075326

T2 - 2000 10th European Signal Processing Conference, EUSIPCO 2000

Y2 - 4 September 2000 through 8 September 2000

ER -

An information theoretic approach to blind Multiple Access Interference suppression

Abstract

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