Distributed asynchronous modulation classification based on hybrid maximum likelihood approach

Thakshila Wimalajeewa; Jithin Jagannath; Pramod K. Varshney; Andrew Drozd; Wei Su

doi:10.1109/MILCOM.2015.7357660

Distributed asynchronous modulation classification based on hybrid maximum likelihood approach

Thakshila Wimalajeewa, Jithin Jagannath, Pramod K. Varshney, Andrew Drozd, Wei Su

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

19 Scopus citations

Abstract

In this paper, we consider the problem of automatic modulation classification (AMC) with multiple sensors. A distributed hybrid maximum likelihood (HML) based algorithm in the presence of unknown time offset, phase offset and channel gain is presented. The proposed distributed algorithm that employs the generalized expectation maximization (GEM) algorithm is robust to initialization of unknown parameters, computationally efficient and require much less communication overhead compared to performing GEM in a centralized setting. Simulation and experimental results depict the efficacy of the proposed algorithm.

Original language	English (US)
Title of host publication	2015 IEEE Military Communications Conference, MILCOM 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1519-1523
Number of pages	5
ISBN (Electronic)	9781509000739
DOIs	https://doi.org/10.1109/MILCOM.2015.7357660
State	Published - Dec 14 2015
Event	34th Annual IEEE Military Communications Conference, MILCOM 2015 - Tampa, United States Duration: Oct 26 2015 → Oct 28 2015

Publication series

Name	Proceedings - IEEE Military Communications Conference MILCOM
Volume	2015-December

Other

Other	34th Annual IEEE Military Communications Conference, MILCOM 2015
Country/Territory	United States
City	Tampa
Period	10/26/15 → 10/28/15

Keywords

Modulation classification
distributed decision fusion
generalized expectation maximization algorithm
hybrid maximum likelihood

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/MILCOM.2015.7357660

Cite this

Wimalajeewa, T., Jagannath, J., Varshney, P. K., Drozd, A., & Su, W. (2015). Distributed asynchronous modulation classification based on hybrid maximum likelihood approach. In 2015 IEEE Military Communications Conference, MILCOM 2015 (pp. 1519-1523). Article 7357660 (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2015-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM.2015.7357660

Distributed asynchronous modulation classification based on hybrid maximum likelihood approach. / Wimalajeewa, Thakshila; Jagannath, Jithin; Varshney, Pramod K. et al.
2015 IEEE Military Communications Conference, MILCOM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1519-1523 7357660 (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2015-December).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Wimalajeewa, T, Jagannath, J, Varshney, PK, Drozd, A & Su, W 2015, Distributed asynchronous modulation classification based on hybrid maximum likelihood approach. in 2015 IEEE Military Communications Conference, MILCOM 2015., 7357660, Proceedings - IEEE Military Communications Conference MILCOM, vol. 2015-December, Institute of Electrical and Electronics Engineers Inc., pp. 1519-1523, 34th Annual IEEE Military Communications Conference, MILCOM 2015, Tampa, United States, 10/26/15. https://doi.org/10.1109/MILCOM.2015.7357660

Wimalajeewa T, Jagannath J, Varshney PK, Drozd A, Su W. Distributed asynchronous modulation classification based on hybrid maximum likelihood approach. In 2015 IEEE Military Communications Conference, MILCOM 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1519-1523. 7357660. (Proceedings - IEEE Military Communications Conference MILCOM). doi: 10.1109/MILCOM.2015.7357660

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Distributed asynchronous modulation classification based on hybrid maximum likelihood approach

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