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Modified ART2A-DWNN for automatic digital modulation recognition

  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A modified ART2A-DWNN for automatic digital modulation recognition is proposed in this paper. Daubechies wavelet "db9" is chosen instead of "morlet" wavelet as the mother wavelet in ART2A-DWNN because of its compactness and orthonormality. Simulations have been carried out with the modulated signals corrupted by Gaussian noise to evaluate the performance of the proposed method. Recognition capability, noise immunity and convenience of accommodating new patterns of the modified ART2A-DWNN are simulated and analyzed. The experimental results have indicated the advantages of the modified method. Comparing the performance of the two ART2A-DWNNS, the modified ART2A-DWNN has higher recognition capability than the one with "morlet" wavelet.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
PublisherSpringer Verlag
Pages765-771
Number of pages7
EditionPART 2
ISBN (Print)9783540723929
DOIs
StatePublished - 2007
Externally publishedYes
Event4th International Symposium on Neural Networks, ISNN 2007 - Nanjing, China
Duration: 3 Jun 20077 Jun 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4492 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Symposium on Neural Networks, ISNN 2007
Country/TerritoryChina
CityNanjing
Period3/06/077/06/07

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