DocumentCode
3061659
Title
Cooperative AMC schemes using cumulants with hard and soft decision fusion
Author
Markovic, Goran B. ; Dukic, Miroslav L.
Author_Institution
Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
fYear
2012
fDate
20-22 Nov. 2012
Firstpage
400
Lastpage
403
Abstract
Application of cooperative multiple sensors for distributed signal sensing and modulation classification offers significant improvement of classification performance, compared to using single sensor, especially in the presence of multipath fading. In this paper, several cooperative AMC schemes with hard and soft decision fusion were analyzed. Classification performances of cooperative AMC schemes are investigated and evaluated in terms of average probability of correct classification, through Monte-Carlo simulations.
Keywords
Monte Carlo methods; cooperative communication; fading channels; Monte Carlo simulation; average probability; cooperative AMC scheme; cooperative multiple sensors; distributed signal sensing; modulation classification; multipath fading; Classification algorithms; Estimation; Fading; Modulation; Sensors; Signal to noise ratio; Wireless sensor networks; Automatic modulation classification (AMC); cognitive radio; cooperation; cumulants; wireless sensor networks (WSN);
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Forum (TELFOR), 2012 20th
Conference_Location
Belgrade
Print_ISBN
978-1-4673-2983-5
Type
conf
DOI
10.1109/TELFOR.2012.6419231
Filename
6419231
Link To Document