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Joint cumulant estimate correction and decision for cooperative modulation classification by using multiple sensors

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Abstract

In this paper, several data fusion and soft decision fusion methods are proposed for cooperative automatic modulation classification (AMC) by using multiple sensors. A well-known AMC using fourth-order cumulant is considered. Also, a novel joint cumulant estimate correction is proposed. The AMC performance of proposed fusion methods with and without joint estimate correction is evaluated through the extensive Monte Carlo trials for different multipath fading channels, sensor spatial distributions, and application scenarios, and compared to those of the existing methods. Numerical results have confirmed huge performance improvement achievable with here proposed methods, especially in the non-idealized application scenarios.

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Acknowledgments

This work was partially supported by the Serbian Ministry of Education and Science under technology development project TR32028.

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Authors and Affiliations

  1. School of Electrical Engineering, University of Belgrade, Bul. Kralja Aleksandra 73, Belgrade, 11 000, Serbia

    Goran B. Markovic & Miroslav L. Dukic

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  1. Goran B. Markovic
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  2. Miroslav L. Dukic
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Correspondence to Goran B. Markovic.

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Markovic, G.B., Dukic, M.L. Joint cumulant estimate correction and decision for cooperative modulation classification by using multiple sensors. Ann. Telecommun. 70, 197–206 (2015). https://doi.org/10.1007/s12243-014-0437-4

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  • DOI: https://doi.org/10.1007/s12243-014-0437-4

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