You are here

Joint channel and data estimation: genetic algorithm based blind equalization

Download pdf | Full Screen View

Date Issued:
1999
Title: Joint channel and data estimation: genetic algorithm based blind equalization.
0 views
0 downloads
Name(s): Caimi, F. M., creator
Wang, D., creator
Harbor Branch Oceanographic Institute
Type of Resource: text
Genre: Article
Issuance: single unit
Date Issued: 1999
Publisher: IEEE
Extent: 8 p.
Physical Description: pdf
Language(s): English
Identifier: 3183717 (digitool), FADT3183717 (IID), fau:5963 (fedora), 10.1109/OCEANS.1999.804998 (doi)
Note(s): A genetic algorithm (GA) based blind equalization method is presented for joint channel and data estimation. The GA is an optimization technique using natural selection and evolutionary processes that searches for solutions of the problem through phases of evaluation, reproduction, crossover, and mutation repeatedly. The most important advantages of these algorithms are parallel search capability, convergence to global optimum, and reduced problem-dependence. Different schemes for each of above phases have been considered in achieving better results.
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
This manuscript is available at http://ieeexplore.ieee.org/ and may be cited as: Caimi, F. M., & Wang, D. (1999). Joint channel and data estimation: genetic algorithm based blind equalization. Oceans'99 MTS/IEEE: Riding the crest into the 21st century. (Vol. 2, pp. 931-937). Washington, DC: Oceans'99 MTS/IEEE Conference Committee. doi:10.1109/OCEANS.1999.804998
Florida Atlantic University. Harbor Branch Oceanographic Institute contribution #1311.
Subject(s): Genetic algorithms
Persistent Link to This Record: http://purl.flvc.org/FCLA/DT/3183717
Links: http://dx.doi.org/10.1109/OCEANS.1999.804998
Restrictions on Access: ©1999 IEEE
Host Institution: FAU