Multi-Dimensional Classification Algorithm for Automatic Modulation Recognition

Albairat, Ouail

ISBN 10: 1025124766 / ISBN 13: 9781025124766

Edité par Hutson Street Press, 2025

A propos de cet article

N° de réf. du vendeur 50676984-n

Détails bibliographiques

• Titre: Multi-Dimensional Classification Algorithm for Automatic Modulation Recognition
• Éditeur: Hutson Street Press
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 1025124766
• ISBN à 13 chiffres: 9781025124766
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

This thesis proposes an approach for modulation classification using existing features in a more efficient way. The Multi-Dimensional Classification Algorithm (MDCA) treats features extracted from signals of interest as elements with irrelevant identities, hence eliminating any dependence of the classifier on any particular feature. This design enables the use of any number of features, and the MDCA algorithm provides the capability to classify modulations in higher dimensions. The use of multiple features requires an equal number of data dimensions, and thus classification in as high a dimensional space as possible can improve final classification results. Finally, the MDCA algorithm uses a relatively small number of simple operations, which leads to a fast processing time. Simulation results for the MDCA algorithm demonstrate good potential. In particular, the MDCA consistently performed well (at SNR levels down to -10dB in some cases) and in identifying more modulation types.

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