Volume 1, Issue 4 (October 2005)                   IJEEE 2005, 1(4): 29-36 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
A. Ebrahimzadeh, S. A. Seyedin. Signal Identification Using a New High Efficient Technique. IJEEE 2005; 1 (4) :29-36
URL: http://ijeee.iust.ac.ir/article-1-61-en.html
Signal Identification Using a New High Efficient Technique
A. Ebrahimzadeh , S. A. Seyedin
Abstract:   (17180 Views)
Automatic signal type identification (ASTI) is an important topic for both the civilian and military domains. Most of the proposed identifiers can only recognize a few types of digital signal and usually need high levels of SNRs. This paper presents a new high efficient technique that includes a variety of digital signal types. In this technique, a combination of higher order moments and higher order cumulants (up to eighth) are proposed as the effective features. A hierarchical support vector machine based structure is proposed as the classifier. In order to improve the performance of identifier, a genetic algorithm is used for parameters selection of the classifier. Simulation results show that the proposed technique is able to identify the different types of digital signal (e.g. QAM128, ASK8, and V29) with high accuracy even at low SNRs.
Keywords: Statistical Pattern Recognition , Signal Identification , Support Vector Machine , Higher Order Moments , Higher Order Cumulants
Full-Text [PDF 330 kb]   (3385 Downloads)    
Type of Study: Research Paper |
Received: 2008/10/13 | Accepted: 2008/10/13
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.