Design and evaluation of hierarchical hybrid automatic modulation classifier using software defined radios

Jithin Jagannath, Dan O'Connor, Nicholas Polosky, Brendan Sheaffer, Svetlana Foulke, Lakshmi N. Theagarajan, Pramod Kumar Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Automatic modulation classification (AMC) is a key component of intelligent communication systems used in various military and cognitive radio applications. In AMC, it is desired to increase the number of different modulation formats that can be classified, reduce the computational complexity of classification, and improve the robustness and accuracy of the classifier. Generally, AMC techniques are classified into feature based (FB) and likelihood based (LB) classifiers. In this paper, we propose a novel hierarchical hybrid automatic modulation classifier (HH-AMC) that employs both feature based and likelihood based classifiers to improve performance and reduce complexity. As another major contribution of this paper, we implement and evaluate the performance of HH-AMC over-the-air (OTA) using software defined radios (SDRs) to demonstrate the feasibility of the proposed scheme in practice. Experimental evaluation shows high probability of correct classification (Pcc) for both linear and non-linear modulation formats including BPSK, QPSK, 8-PSK, 16-QAM, 32-QAM, CPFSK, GFSK and GMSK under lab conditions.

Original languageEnglish (US)
Title of host publication2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509042289
DOIs
StatePublished - Mar 1 2017
Event7th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2017 - Las Vegas, United States
Duration: Jan 9 2017Jan 11 2017

Other

Other7th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2017
CountryUnited States
CityLas Vegas
Period1/9/171/11/17

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Jagannath, J., O'Connor, D., Polosky, N., Sheaffer, B., Foulke, S., Theagarajan, L. N., & Varshney, P. K. (2017). Design and evaluation of hierarchical hybrid automatic modulation classifier using software defined radios. In 2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017 [7868362] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCWC.2017.7868362