Journal
IEEE COMMUNICATIONS LETTERS
Volume 16, Issue 1, Pages 12-15Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2011.112311.112006
Keywords
Quadrature amplitude modulation; signal cyclostationarity; signal identification
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Funding
- Defence Research and Development Canada, Ottawa
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This letter proposes two novel algorithms for the identification of quadrature amplitude modulation (QAM) signals. The cyclostationarity-based features used by these algorithms are robust with respect to timing, phase, and frequency offsets, and phase noise. Based on theoretical analysis and simulations, the identification performance of the proposed algorithms compares favorably with that of alternative approaches.
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