Automatic Identification of Modulation Signals Based On High Order Cumulants
Authors
Yanhua Liu, Xiaoyan Zhang, Haixin Sun, Yuting Yuan, Jianquan Yan
Corresponding Author
Yanhua Liu
Available Online March 2015.
- 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/).
Cite this article
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 -