Modulation classification in the presence of interference

Author

Zaerin, Masoud ; Seyfe, Babak ; Nikoofar, Hamid Reza

Author_Institution

Dept. of Electr. Eng., Shahed Univ., Tehran, Iran

Volume

4

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

314

Lastpage

318

Abstract

We develop an algorithm for automatic recognition of digital linear modulations in the presence of interference. We utilize the superposition property of cumulants for independent random variables, to recognize the modulation type of the received signals. The proposed method benefits from the robustness of cumulant-based features to frequency offset, channel phase and phase jitter. Simulation results are provided to show the performance of our proposed classifier in the presence of interference.

Keywords

interference (signal); jitter; modulation; signal classification; automatic modulation classification; channel phase; digital linear modulation; frequency offset; independent random variable; interference; phase jitter; signal; superposition property of cumulants; AWGN; Carbon capture and storage; Classification algorithms; Digital modulation; Electronic mail; Frequency; Interference; Jitter; Noise robustness; Transmitters; Automatic modulation classification (AMC); higher-order cumulant; interference; modulation classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5357660

Filename

5357660