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Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
Chengdu, China
May 16, 2009 to May 17, 2009
ISBN: 978-0-7695-3614-9
pp: 31-34
ABSTRACT
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.
INDEX TERMS
communication signals, modulation classification, time-frequency overlapped, spectral correlation function
CITATION
Wan Qun, Fu Haitao, Shi Rong, "Modulation Classification Based on Cyclic Spectral Features for Co-Channel Time-Frequency Overlapped Two-Signal", Circuits, Communications and Systems, Pacific-Asia Conference on, vol. 00, no. , pp. 31-34, 2009, doi:10.1109/PACCS.2009.34
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