Cyclostationarity-Based Robust Algorithms for QAM Signal Identification

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 simulat...

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Bibliographic Details
Published in:IEEE communications letters 2012-01, Vol.16 (1), p.12-15
Main Authors: Dobre, Octavia A., Oner, M., Rajan, S., Inkol, R.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Applied sciences
Computer simulation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Modulation, demodulation
Noise
Offsets
Phase noise
Quadrature amplitude modulation
Robustness
Signal and communications theory
signal cyclostationarity
signal identification
Signal to noise ratio
Signal, noise
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Time measurements
Timing
Transmission and modulation (techniques and equipments)
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Summary: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.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2011.112311.112006