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AuthorWallayt, Waqas
AuthorYounis, Muhammad S.
AuthorImran, Muhammad
AuthorShoaib, Muhammad
AuthorGuizani, Mohsen
Available date2022-11-10T09:47:22Z
Publication Date2015
Publication NameWireless Personal Communications
ResourceScopus
Resource2-s2.0-84941420940
URIhttp://dx.doi.org/10.1007/s11277-015-2544-6
URIhttp://hdl.handle.net/10576/36132
AbstractIn this research, a classifier is proposed for automatic modulation classification of some common modulation schemes, i.e., BPSK, QPSK, 8-PSK and 16-QAM. Our proposed classifier considers multipath fading effects on the received signal in a non-Gaussian noise environment. Automatic modulation classification is very challenging in real-world scenarios due to fading effects and additive Gaussian mixture noise on modulation schemes. Most of the available modulation classifiers do not consider the fading effects which results in degradation of classification in a blind channel environment. In our work, the channel is supposed to be suffering from excessive additive Gaussian mixture noise and frequency selective fading resulting in low signal SNR. The estimation of the unknown channel along with noise parameters is performed using ECM algorithm and then used in maximum-likelihood classifier for the classification of modulation schemes. Simulation results are presented that show 2 dB improvement in performance than classifier which considers only Gaussian noise in the received signal. 2015, Springer Science+Business Media New York.
SponsorThis research work is supported by the Research Centre of College of Computer and Information Sciences at King Saud University through Project No. RC121262. The authors are grateful for this support.
Languageen
PublisherKluwer Academic Publishers
SubjectAutomatic modulation classification
Blind channel estimation
Expectation conditional maximization algorithm
Feature based classification
Frequency selective fading
Gaussian mixture model
Maximum likelihood classification
TitleAutomatic Modulation Classification for Low SNR Digital Signal in Frequency-Selective Fading Environments
TypeArticle
Pagination1891-1906
Issue Number3
Volume Number84
dc.accessType Abstract Only


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