Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICC.2007.437
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dc.titleAutomatic classification of imperfect QAM constellation using radon transform
dc.contributor.authorLeyman, A.R.
dc.contributor.authorLiu, X.
dc.contributor.authorGarg, H.K.
dc.contributor.authorXin, Y.
dc.date.accessioned2014-06-19T03:01:05Z
dc.date.available2014-06-19T03:01:05Z
dc.date.issued2007
dc.identifier.citationLeyman, 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. https://doi.org/10.1109/ICC.2007.437
dc.identifier.isbn1424403537
dc.identifier.issn05361486
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69469
dc.description.abstractNew 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICC.2007.437
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICC.2007.437
dc.description.sourcetitleIEEE International Conference on Communications
dc.description.page2635-2640
dc.identifier.isiut000257882501198
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