Abstract
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.
Original language | English |
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Article number | 8866723 |
Pages (from-to) | 57-61 |
Number of pages | 5 |
Journal | IEEE Communications Letters |
Volume | 24 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2020 |
Externally published | Yes |
Keywords
- automatic modulation classification
- blind modulation identification
- First-order cyclostationarity test