Blind channel equalization and epsilon -approximation algorithms

Qingyu Li; Er-Wei Bai; Yinyu Ye

doi:10.1109/78.960429

Back

Blind channel equalization and epsilon -approximation algorithms

Journal article

Peer reviewed

Blind channel equalization and epsilon -approximation algorithms

Qingyu Li, Er-Wei Bai and Yinyu Ye

IEEE transactions on signal processing, Vol.49(11), pp.2823-2831

01/01/2001

DOI: 10.1109/78.960429

View Online

Abstract

We show that a blind equalizer can be obtained without estimating any statistics based on the received data if the constellation alphabet is known. The idea is to formulate the blind channel equalization problem into a quadratic optimization with binary constraints. Then, efficient member of -approximation algorithms are presented and applied to find the equalizer coefficients. The proposed approach blindly equalizes the channel at symbol baud rates, does not rely on estimating any statistics, applies to nonminimum phase channels, and converges to an member of neighborhood of a global optimum. Simulation results support the theoretical analysis

Algorithms

Statistics

Optimization

Equalizers

Estimating

Equalization

Blinds

Channels

Details

Title: Subtitle: Blind channel equalization and epsilon -approximation algorithms
Creators: Qingyu Li
Er-Wei Bai
Yinyu Ye
Resource Type: Journal article
Publication Details: IEEE transactions on signal processing, Vol.49(11), pp.2823-2831
DOI: 10.1109/78.960429
ISSN: 1053-587X
eISSN: 1941-0476
Language: English
Date published: 01/01/2001
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083854302771

Metrics

6 Record Views

7 Times Cited - Web of Science