Fully cognitive transceiver for High Frequency (HF) applications

Noel Teku, Hamed Asadi, Tamal Bose, Michael Marefat

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

2 Scopus citations


Ionospheric conditions are variable in nature and can cause destructive interference to transmissions made in the High Frequency (HF) band, which ranges from 3-30 MHz. This poses a problem as the HF band is a critical fre-quency range for various applications (i.e. emergency, military). To manage these dynamic conditions, intelligent techniques should be implemented at the transmitter and receiver to properly maintain reliable communications. In this paper, we present work deriving components of a cognitive HF transceiver with agents called cognitive engines (CEs) operating at the transmitter and receiver. At the transmitter, cognition is employed to determine the combination of modulation and coding techniques that maximize throughput. At the receiver, cognition is implemented to derive the best parameters for equalization (i.e. tap length, step size, filter type, etc.) Results are presented showing that the individual components are able to satisfy their objectives. A discussion is also provided surveying recent research efforts pertaining to the development of cognitive methods for the Automatic Link Establishment (ALE) protocol, a common networking methodology for HF stations.

Original languageEnglish (US)
Title of host publicationOpen Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2018
EditorsRaja Suresh
ISBN (Electronic)9781510626959
StatePublished - 2019
Event24th Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation Conference 2018 - Baltimore, United States
Duration: Apr 16 2019Apr 18 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Conference24th Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation Conference 2018
Country/TerritoryUnited States


  • Cognitive Engine
  • Equalization
  • HF
  • Ionosphere
  • Reinforcement Learning

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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