Comparison of Digital Modulation Classification Based on Statistical Approaches

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: 2009
Předmět:
Zdroj: Tenth Postgraduate Electrical Engineering and Computing Symposium (PEECS 2009)
Tenth Postgraduate Electrical Engineering and Computing Symposium (PEECS 2009), Oct 2009, Perth, Australia
HAL
Popis: International audience; In digital communication systems, the modulation classification has emerged with new concern. This is mostly considered necessary in Communication Intelligence (COMINT) applications such as signal interception for defence, civil authority, surveillance and threat analysis, etc. Recently many algorithms have been projected to distinguish digitally modulated signals. In this paper, we present and evaluate some of the major problems, approaches and algorithms to recognize automatically the type of the modulated signals. First of all, Azzouz and Nandi's algorithm has been compared and discussed. To simplify our study, here some classical digital modulations schemes have been considered only. Many simulations have been carried out and presented for these modulation types by using statistical approaches.
Databáze: OpenAIRE