Recognition of Radio Signals with Deep Learning Neural Networks

IŞIK G., ARTUNER H.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.837-840 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2016.7495870
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.837-840
  • Hacettepe University Affiliated: Yes

Abstract

Nowadays, the use of Artificial Neural Networks shows continuity in many different applications. In particular, the use of deep learning type neural networks, seen as impractical previously, is increasing by processing power growth. Software Defined Radio (SDR) is another hot topic called as Digital Radio concept. With a growing interest in the environment was formed especially by radio amateurs. Analyzing signals and making sense out of them by SDR is accepted in many areas. In this study, design and implementation of a sample work has been subjected for identification of received radio signals on SDR with deep learning neural networks. (DLNN).