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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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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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description	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.
doi_str_mv	10.1109/LCOMM.2011.112311.112006
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source	IEEE Electronic Library (IEL) Journals
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)
title	Cyclostationarity-Based Robust Algorithms for QAM Signal Identification
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