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  Published Paper Details:

  Paper Title

AI BASED RF JAMMING AND MITIGATION

  Authors

  Kruthika V H,  Gagana M Aradhyamatt,  Bharat K,  Bhuvan S,  Dr. Sujay Routh

  Keywords

Keywords - Software Defined Radio, Artificial Intelligence, Jamming Simulation, Cognitive Radio, Machine Learning, RF Interference, Web Dashboard.

  Abstract


This paper presents the design and implementation of an intelligent RF signal generation and jamming simulation system using Software Defined Radio (SDR) integrated with artificial intelligence (AI) and a web-based visualization dashboard. The system simulates real-time jamming scenarios, detects interference patterns using machine learning algorithms, and autonomously executes recovery actions. The framework employs, GNU Radio software, and a Random Forest classifier achieving 97.5% accuracy in interference classification. A React-based web dashboard provides live signal spectrum, waveform, and recovery visualization. This integrated SDR-AI architecture demonstrates real-time cognitive communication capabilities and serves as a platform for research, education, and defencegrade anti-jamming solutions.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2512356

  Paper ID - 298657

  Page Number(s) - d39-d45

  Pubished in - Volume 13 | Issue 12 | December 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Kruthika V H,  Gagana M Aradhyamatt,  Bharat K,  Bhuvan S,  Dr. Sujay Routh,   "AI BASED RF JAMMING AND MITIGATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.d39-d45, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512356.pdf

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Call For Paper December 2025
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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