Identification of superposed modulations for two‐way relaying MIMO systems with physical‐layer network coding. Issue 2 (1st January 2017)

• Record Type: Journal Article
• Authors: Ben Chikha, Wassim; Chaoui, Slim; Attia, Rabah
• Is Part Of: IET communications. Volume 11:Issue 2(2017)
• Page Start: 225
• Page End: 231
• Publication Date: 2017-01-01
• Subjects: feature selection -- genetic algorithms -- higher order statistics -- radio receivers -- signal detection -- relay networks (telecommunication) -- network coding -- MIMO communication; two‐way relaying MIMO system -- superposed modulation identification -- physical‐layer network coding -- automatic modulation identification -- signal detection -- intelligent receiver -- two‐way relaying multiple‐input multiple‐output system -- PLNC -- source modulation -- superposed constellation -- relay position -- signal‐to‐noise ratio level -- random forest -- feature selection method -- information theory -- genetic algorithm -- higher order statistics‐based feature; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2016.0335
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : The automatic modulation identification of a detected signal represents an essential task for an intelligent receiver and plays an important role in demodulating the intercepted signals for several communication systems. In this study, the authors propose an efficient algorithm of superposed modulations identification dedicated for two‐way relaying multiple‐input multiple‐output systems with physical‐layer network coding (PLNC). The aim of this work is to identify a pair of sources modulations from the superposed constellation, when PLNC is applied. For this purpose, the authors use the higher order statistics‐based features in conjunction with genetic algorithm and information theory as a features selection method and the random forests as a classifier. Simulations are provided to assess the accuracy of the proposed algorithm through the average probability of correct identification for different modulation scheme pairs. It is shown that the algorithm achieves high‐modulation identification in acceptable signal‐to‐noise ratio level at different relay position.