Automatic Modulation Recognition of both Digital and Analog Communication Signals

DOI

10.2991/icemie-16.2016.38How to use a DOI?

Keywords

automatic modulation recognition; digital and analog signals; the first statistical moment; feature parameters

Abstract

Six feature parameters P1-P6 based on the first statistical moments of the received signals were proposed for automatically classify the modulation of digital and analog communication signal, which were calculated by signal processing methods. The calculation process is simpler than witch traditional algorithm, but also this process is suitable for real time online. The automatic modulation recognition algorithm was also given based on the decision-theoretic approach, which was presented in this work. With 6 Thresholds T1-T6, the 7 kinds of digital and analog communication signal were recognized with an average success rate 98%, including 2ASK, 4ASK, 2FSK, 4FSK, AM, DSO and 16QAM, by the MATLAB simulation.

Copyright

© 2016, 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  - Tiger Sun
AU  - Jiakuan Jia
AU  - Guojun Yu
PY  - 2016/04
DA  - 2016/04
TI  - Automatic Modulation Recognition of both Digital and Analog Communication Signals
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 154
EP  - 156
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.38
DO  - 10.2991/icemie-16.2016.38
ID  - Sun2016/04
ER  -