Online modulation classification with multiple receivers under unknown symbol timing and flat fading

EFENDİ E., DÜLEK B.

PHYSICAL COMMUNICATION, cilt.54, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 54
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.phycom.2022.101787
  • Dergi Adı: PHYSICAL COMMUNICATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Anahtar Kelimeler: Asynchronous modulation classification, Online expectation-maximization, Block-fading, Symbol timing, Distributed network, ASYNCHRONOUS CLASSIFICATION, LINEAR MODULATIONS, MAXIMUM-LIKELIHOOD, SIGNALS
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Likelihood based techniques present a viable approach to modulation classification (MC) since they are based on sound probabilistic models for the transmitted signal and the channel. However, as more uncertainties are taken into account in these models, they begin to suffer from increased computational complexity and memory requirements due to parameter estimation. In this paper, we propose an online MC technique based on Titterington's expectation-maximization algorithm and apply it to centralized and distributed networks of multiple receivers that operate under unknown independent flat-block fading and symbol timing uncertainty. Compared to existing methods that yield high classification accuracy based on batch processing of the data, simulation results indicate that our sequential algorithm delivers comparable performance without the need to oversample the waveforms intercepted by the receivers. (c) 2022 Elsevier B.V. All rights reserved.