Multi-Dimensional Classification Algorithm for Automatic Modulation Recognition

Ouail Albairat

ISBN 10: 1288326769 / ISBN 13: 9781288326761

Published by Biblioscholar, 2012

About this Item

This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Seller Inventory # C9781288326761

Bibliographic Details

• Title: Multi-Dimensional Classification Algorithm for Automatic Modulation Recognition
• Publisher: Biblioscholar
• Publication Date: 2012
• Language: English
• ISBN 10: 1288326769
• ISBN 13: 9781288326761
• Binding: Paperback / softback
• Condition: New
• Weight: 298 grams

About this title

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.