Automatic classification of analog modulation schemes

Document Type

Conference Proceeding

Publication Date

5-11-2012

Abstract

This paper discusses automatic modulation classification (AMC) of analog schemes. Histograms of instantaneous frequency are used as classification features and Support Vector Machines (SVMs) are then applied to classify the unknown modulation schemes. This novel machine-learning based method can insure robustness in a wide range of SNR. Extensive simulation has demonstrated the validity of the proposed AMC algorithm. It is a practical algorithm in blind AMC environments. © 2012 IEEE.

Identifier

84860680749 (Scopus)

ISBN

[9781457711541]

Publication Title

Rww 2012 Proceedings IEEE Radio and Wireless Symposium Rws 2012

External Full Text Location

https://doi.org/10.1109/RWS.2012.6175327

First Page

5

Last Page

8

This document is currently not available here.

Share

COinS