Probabilities of False Alarm and Detection for the First-Order Cyclostationarity Test: Application to Modulation Classification

Automatic modulation classification is one of the most challenging problems of cognitive radio and has significant commercial and military application. This letter focuses on blind modulation classification of first-order cyclostationary signals under a Gaussian channel. A detailed theoretical analy...

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Bibliographic Details
Published in:IEEE communications letters 2020-01, Vol.24 (1), p.57-61
Main Authors: Serbes, Ahmet, Cukur, Huseyin, Qaraqe, Khalid
Format: Article
Language:English
Subjects:
automatic modulation classification
blind modulation identification
Classification
Cognitive radio
Constant false alarm rate
Detectors
False alarms
First-order cyclostationarity test
Formulations
Frequency shift keying
Indexes
Military applications
Military communication
Modulation
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Summary:Automatic modulation classification is one of the most challenging problems of cognitive radio and has significant commercial and military application. This letter focuses on blind modulation classification of first-order cyclostationary signals under a Gaussian channel. A detailed theoretical analysis of the first-order cyclostationarity test has been performed. We present the theoretical expressions of the probability of false alarm Pfa and the probability of detection Pd as a function of the selected threshold for the first-order cyclostationarity test based constant false alarm rate detector. The Pd is presented for only AM and M-FSK signals, which are the only signals that possess first-order cyclostationary features. Theoretical formulations presented in this letter are validated by extensive simulation results.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2019.2947043