Distributed asynchronous modulation classification based on hybrid maximum likelihood approach

Thakshila Wimalajeewa, Jithin Jagannath, Pramod Kumar Varshney, Andrew Drozd, Wei Su

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

9 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 languageEnglish (US)
Title of host publicationProceedings - IEEE Military Communications Conference MILCOM
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1519-1523
Number of pages5
Volume2015-December
ISBN (Print)9781509000739
DOIs
StatePublished - Dec 14 2015
Event34th Annual IEEE Military Communications Conference, MILCOM 2015 - Tampa, United States
Duration: Oct 26 2015Oct 28 2015

Other

Other34th Annual IEEE Military Communications Conference, MILCOM 2015
CountryUnited States
CityTampa
Period10/26/1510/28/15

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • 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 Proceedings - IEEE Military Communications Conference MILCOM (Vol. 2015-December, pp. 1519-1523). [7357660] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM.2015.7357660