Adaptive HF radio channels based on signal-to-noise ratio using SDR technology

Adaptive HF (high-frequency) radio channels based on signal-to-noise ratio (SNR) using software-defined radio (SDR) technology is a promising approach to improve the reliability and efficiency of radio communications. The HF radio communication channel is often affected by channel fading, which degr...

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Published in:2023 10th International Conference on Modern Power Systems (MPS) pp. 1 - 5
Main Authors: Sorecau, Emil, Sorecau, Mirela, Bechet, Paul
Format: Conference Proceeding
Language:English
Published: IEEE 21.06.2023
Subjects:
adaptive link
Adaptive systems
Bandwidth
I. Keywords - HF channels
Libraries
OFDM
Power system reliability
python scripts
Radio links
Reliability
signal-to-noise ratio
software defined radio
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Abstract Adaptive HF (high-frequency) radio channels based on signal-to-noise ratio (SNR) using software-defined radio (SDR) technology is a promising approach to improve the reliability and efficiency of radio communications. The HF radio communication channel is often affected by channel fading, which degrades the signal-to-noise ratio of the received signal. Adaptive techniques can be used to adjust the transmission parameters based on the channel conditions, such as SNR, to mitigate the effects of channel degradation and improve the reliability of HF radio communications. In the paper, we discuss the need for adaptive RF radio channels, the advantages of SDR technology and Python programming combined with the GNU Radio block library. We also propose a specific method for adaptive HF radio channels based on SNR and evaluate this method in the laboratory.
AbstractList Adaptive HF (high-frequency) radio channels based on signal-to-noise ratio (SNR) using software-defined radio (SDR) technology is a promising approach to improve the reliability and efficiency of radio communications. The HF radio communication channel is often affected by channel fading, which degrades the signal-to-noise ratio of the received signal. Adaptive techniques can be used to adjust the transmission parameters based on the channel conditions, such as SNR, to mitigate the effects of channel degradation and improve the reliability of HF radio communications. In the paper, we discuss the need for adaptive RF radio channels, the advantages of SDR technology and Python programming combined with the GNU Radio block library. We also propose a specific method for adaptive HF radio channels based on SNR and evaluate this method in the laboratory.
Author Bechet, Paul
Sorecau, Emil
Sorecau, Mirela
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  givenname: Emil
  surname: Sorecau
  fullname: Sorecau, Emil
  email: emil.sorecau@gmail.com
  organization: Technical University of Cluj Napoca,Department of Electrotechnics and Measurements,Cluj-Napoca,Romania
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  givenname: Mirela
  surname: Sorecau
  fullname: Sorecau, Mirela
  email: mirela.doicin@gmail.com
  organization: Technical University of Cluj Napoca,Department of Electrotechnics and Measurements,Cluj-Napoca,Romania
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  givenname: Paul
  surname: Bechet
  fullname: Bechet, Paul
  email: pbechet@gmail.com
  organization: "Nicolae Balcescu" Land Forces Academy,Department of Communications, IT and Cyber Defence,Sibiu,Romania
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Snippet Adaptive HF (high-frequency) radio channels based on signal-to-noise ratio (SNR) using software-defined radio (SDR) technology is a promising approach to...
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SubjectTerms adaptive link
Adaptive systems
Bandwidth
I. Keywords - HF channels
Libraries
OFDM
Power system reliability
python scripts
Radio links
Reliability
signal-to-noise ratio
software defined radio
Title Adaptive HF radio channels based on signal-to-noise ratio using SDR technology
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