Automatic Identification of Modulation Signals Based On High Order Cumulants

DOI

10.2991/iiicec-15.2015.350How to use a DOI?

Keywords

Automatic modulation classification; cumulants; high order statistics.

Abstract

The automatic modulation identification for communication signals is an important problem in the intercepted signal processing and widely used in non-cooperation communication of military and commercial. This paper proposes a method that based on the second and fourth order cumulants of received signal which can classify digital modulation signal, which can suppress the Gaussian white noise, so we can identify six digital modulation signals: 2ASK 2PSK 4PSK 2FSK 4FSK and 16QAM. In the end, the computer simulation that the automatic identification of modulation signals based on high order cumulates is reasonable.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanhua Liu
AU  - Xiaoyan Zhang
AU  - Haixin Sun
AU  - Yuting Yuan
AU  - Jianquan Yan
PY  - 2015/03
DA  - 2015/03
TI  - Automatic Identification of Modulation Signals Based On High Order Cumulants
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1587
EP  - 1590
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.350
DO  - 10.2991/iiicec-15.2015.350
ID  - Liu2015/03
ER  -