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Title: Automatic classification of imperfect QAM constellation using radon transform
Authors: Leyman, A.R.
Liu, X.
Garg, H.K. 
Xin, Y. 
Issue Date: 2007
Citation: Leyman, A.R., Liu, X., Garg, H.K., Xin, Y. (2007). Automatic classification of imperfect QAM constellation using radon transform. IEEE International Conference on Communications : 2635-2640. ScholarBank@NUS Repository.
Abstract: New automatic classification algorithms are proposed for the imperfect rectangular QAM constellation with phase rotation. Our proposed algorithms are developed based on the two-dimensional Radon transform, and can effectively estimate the phase rotation and classify the modulation type of the received signals. Simulation experiments are performed and the results show that our proposed algorithms are successful even when the incoming signals are corrupted by additive white Gaussian noise (AWGN). As compared with the existing classification algorithm, our proposed algorithms can achieve satisfied performance in terms of probability of correct classification (FCC), and are more feasible to be adopted in practice. © 2007 IEEE.
Source Title: IEEE International Conference on Communications
ISBN: 1424403537
ISSN: 05361486
DOI: 10.1109/ICC.2007.437
Appears in Collections:Staff Publications

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