Title :
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
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;
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
DOI :
10.1109/ICICISYS.2009.5357660
