A software-defined radio testbed for deep learning-based automatic modulation classification-Reference-Cited by-同舟云学术

A software-defined radio testbed for deep learning-based automatic modulation classification

Published:2020-07-25 Issue: Volume: Page:e4556
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Ponnaluru Sowjanya¹^ORCID,Penke Satyanarayana¹

Affiliation:

1. Department of Electronics and Communication Engineering; Koneru Lakshmaiah Educational Foundation; Vaddeswaram India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/dac.4556/fullpdf

Reference31 articles.

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2. Asynchronous linear modulation classification with multiple sensors via generalized EM algorithm;Ozdemir;IEEE Transactions on Wireless Communications,Nov 2015

3. Automatic modulation classification of digital modulations in the presence of HF noise;Hazza;EURASIP Journal on Adv in Signal Processing,2012

4. Low complexity automatic modulation classification based on order-statistics;Han;IEEE Transactions on Wireless Communications,2016

5. Design and evaluation of hierarchical hybrid automatic modulation classifier using software defined radios;Jagannath;Proc. of IEEE Annual Computing and Communication Workshop and Conference (CCWC),Jan 2017

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