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

Ahmet Serbes; Huseyin Cukur; Khalid Qaraqe

doi:10.1109/LCOMM.2019.2947043

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

Ahmet Serbes^*
, Huseyin Cukur
, Khalid Qaraqe

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

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 P_fa and the probability of detection P_d as a function of the selected threshold for the first-order cyclostationarity test based constant false alarm rate detector. The P_d 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
Article number	8866723
Pages (from-to)	57-61
Number of pages	5
Journal	IEEE Communications Letters
Volume	24
Issue number	1
DOIs	https://doi.org/10.1109/LCOMM.2019.2947043
Publication status	Published - Jan 2020
Externally published	Yes

Keywords

First-order cyclostationarity test
automatic modulation classification
blind modulation identification

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10.1109/LCOMM.2019.2947043

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

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.",

keywords = "First-order cyclostationarity test, automatic modulation classification, blind modulation identification",

author = "Ahmet Serbes and Huseyin Cukur and Khalid Qaraqe",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.",

year = "2020",

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T1 - Probabilities of False Alarm and Detection for the First-Order Cyclostationarity Test

T2 - Application to Modulation Classification

AU - Serbes, Ahmet

AU - Cukur, Huseyin

AU - Qaraqe, Khalid

PY - 2020/1

Y1 - 2020/1

N2 - 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.

AB - 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.

KW - First-order cyclostationarity test

KW - automatic modulation classification

KW - blind modulation identification

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M3 - Article

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JO - IEEE Communications Letters

JF - IEEE Communications Letters

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ER -

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

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Keywords

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