Abstract:
Modulation classification plays an important role in various civil and military applications. In this paper, we study the modulation classification for successive relayin...Show MoreMetadata
Abstract:
Modulation classification plays an important role in various civil and military applications. In this paper, we study the modulation classification for successive relaying multiple-input multiple-output (MIMO) systems with interference. To mitigate the effect of interference from another relay node, we adopt a method that jointly identify the modulation types of the source node and the relay node. Specifically, higher order moments (HOMs) and higher order cumulants (HOCs) of the received signal are used as the discriminating features in random forest (RF) to classify the modulation types. Extensive simulations verify the advantages of the proposed scheme over the traditional scheme that treats the interference as colored noise.
Date of Conference: 09-11 August 2020
Date Added to IEEE Xplore: 09 November 2020
ISBN Information:
Print on Demand(PoD) ISSN: 2377-8644