Modulation Classification Based on Cyclic Spectral Features for Co-Channel Time-Frequency Overlapped Two-Signal
Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
May 16, 2009 to May 17, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PACCS.2009.34
A modulation classification algorithm based on cyclic spectral features is presented to solve the problems in modulation classification for time-frequency overlapped two-signal in co-channel. Each signal’s features from the cyclic spectrum are extracted, and a multi-pole classifier is proposed to classify the time-frequency overlapped signals respectively in the combination of BPSK, QPSK, OQPSK and MSK signals automatically. Both theoretical analysis and simulation via Matlab verify that the algorithm is reasonable and efficient.
communication signals, modulation classification, time-frequency overlapped, spectral correlation function
W. Qun, F. Haitao and S. Rong, "Modulation Classification Based on Cyclic Spectral Features for Co-Channel Time-Frequency Overlapped Two-Signal," 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)(PACCS), Chengdu, 2009, pp. 31-34.