1999 IEEE International Conference on Communications (Cat. No. 99CH36311)
DOI: 10.1109/icc.1999.768003
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An automatic modulation recognition algorithm for spectrum monitoring applications

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Cited by 26 publications
(8 citation statements)
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“…These signals are a real voice signal and a simulated voice signals both band-limited to 4 kHz. The simulated voice signal is produced by a first order autoregressive process of the form (Dubuc, Boudreau, Patenaude, & Inkol, 1999) y½k Z 0:95y½kK1 C n½k (9) where n[k] is a white Gaussian noise. A modulated signal s(t) can be expressed by a function of the form sðtÞ Z a c aðtÞcosð2pf c t C 4ðtÞ C q 0 Þ…”
Section: Signal Generation and Implementationmentioning
confidence: 99%
“…These signals are a real voice signal and a simulated voice signals both band-limited to 4 kHz. The simulated voice signal is produced by a first order autoregressive process of the form (Dubuc, Boudreau, Patenaude, & Inkol, 1999) y½k Z 0:95y½kK1 C n½k (9) where n[k] is a white Gaussian noise. A modulated signal s(t) can be expressed by a function of the form sðtÞ Z a c aðtÞcosð2pf c t C 4ðtÞ C q 0 Þ…”
Section: Signal Generation and Implementationmentioning
confidence: 99%
“…The some of most important of these studies are conducted by Nandi and Azzouz who have suggested analog modulation classification algorithms, digital modulation classification algorithms, and analog and digital modulation classification algorithms by using decision-theoretic and artificial neural network (ANN) (Wu et al, 2005;Azzouz & Nandi, 1996a, 1996b. In other automatic modulation classification studies, different methods such as statistical pattern classification, spectrum monitoring applications, and intercepted signal filtering are used for automatic modulation classification (Dubuc & Boudreau, 1999;Lopatka & Pedzisz, 2000;Wong & Nandi, 2001;Wu et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…Further, the automatic modulation recognition of communication signals is a valuable tool in both military and civilian purposes, especially in electronic surveillance systems. A modulation classification algorithm based on decisiontree aproach by using features extracted from the signal of the instantaneous phase, instantaneous frequency and amplitude envelope have been proposed [2]. This algorithm can discriminate between continuous wave (CW), amplitude modulation (AM), double sideband suppressed carrier (DSB-SC), frequency modulation (FM), frequency shift keying (FSK), binary phase shift keying (BPSK) and quaternary phase shift keying (QPSK) modulations.…”
Section: Introductionmentioning
confidence: 99%