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Modulation Identification Using Moment Features for Communications via Ricean Fading SIMO Channels

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Abstract

Modulation identification (MI) of an unknown communication signal plays a key role in various civilian and military applications, such as cognitive radio, spectrum surveillance, and electronic warfare systems. In this paper, a new MI algorithm for Ricean fading channel signals in wireless single input multiple output systems is proposed, which employs high-order moments as features for identification. The second-order moment and the fourth-order cross-moment matrix of the received signal envelope are used to estimate the moments of the transmitted data. The performance of the proposed algorithm is investigated through numerical simulations and compared with the MI algorithm in the literature.

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Authors and Affiliations

  1. SERCom Laboratory, Tunisia Polytechnic School, Carthage University, B.P. 743, 2078, La Marsa, Tunisia

    Mohamed Bassem Ben Salah

  2. INRS-EMT, 800, de la Gauchetière Ouest, Bureau 6900, Montréal, QC, H5A 1K6, Canada

    Abdelaziz Samet

Authors
  1. Mohamed Bassem Ben Salah
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  2. Abdelaziz Samet
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Correspondence to Mohamed Bassem Ben Salah.

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Ben Salah, M.B., Samet, A. Modulation Identification Using Moment Features for Communications via Ricean Fading SIMO Channels. Wireless Pers Commun 83, 2683–2692 (2015). https://doi.org/10.1007/s11277-015-2563-3

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  • DOI: https://doi.org/10.1007/s11277-015-2563-3

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