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A Hybrid ICA-SVM Approach to Continuous Phase Modulation Recognition

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2 Author(s)
David Boutte ; Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM ; Balu Santhanam

Automatic modulation recognition is a topic of interest in many fields including signal surveillance, multi-user detection and radio frequency spectrum monitoring. In this paper, we present an algorithm for recognition of different types of continuous phase modulation signals that uses a combination of features extracted through cyclic spectral analysis and an ICA-SVM hybrid recognition system. Simulation results demonstrate the ability of the algorithm to correctly identify modulation types over a wide range of SNR scenarios. The effects of pulse shaping and partial response waveforms are also investigated.

Published in:

IEEE Signal Processing Letters  (Volume:16 ,  Issue: 5 )