Recognition of Digital Modulated Signals based on Statistical Parameters
| Autor: | Haq Nadia, Ali MANSOUR, Nordham Sven |
|---|---|
| Přispěvatelé: | Mansour, Ali, Electric and Computer Eng. Depart, Curtin University [Perth], Planning and Transport Research Centre (PATREC)-Planning and Transport Research Centre (PATREC), Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Electrical and Computer Engineering Depart. |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | IEEE Digital EcoSystems and Technologies Conference IEEE Digital EcoSystems and Technologies Conference, Apr 2010, Dubai, United Arab Emirates HAL |
| Popis: | International audience; Automatic Modulation Recognition is considered significant in Communication Intelligence (COMINT) applications such as signal interception for mobile communication, defence, civil authority, and surveillance. It is also the key for threat analysis. Recently many algorithms have been proposed to distinguish digitally modulated signals. In this paper, we present and evaluate some problems related to automatic recognition of digital modulation. First of all, Azzouz and Nandi's algorithm has been discussed. Some new statistical parameters have been applied on that algorithm. Then a new method has been proposed and presented to recognize Orthogonal frequency Division Multiplex (OFDM) signal, in presence of some other digital modulated signal and Additive White Gaussian Noise (AWGN). Finally, many simulations have been carried out and presented for these modulation types, by using statistical approaches |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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