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September 16, 2025Tehnički glasnikOpen Access

CNN-Based Spectrum Sensing Method for Low Probability of Detection Communication Systems

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Authors

JLJae-Hyeon LeeSJSoyeon JeonEJEui–Rim Jeong

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Overview

This approach improves detection accuracy in low probability of detection systems, indicating that CNNs can enhance signal interception.

Key Points

  • The proposed CNN-based method improves detection accuracy by about 35% under –6 dB SNR conditions.
  • Simulation results show consistent outperformance over conventional energy detection methods, yielding a 2 dB gain.
  • Signals are sampled and transformed into frequency-domain representations through Fast Fourier Transform.
  • The CNN classifier employs multiple convolutional layers with advanced techniques for accurate signal detection.

Cite This Study

Lee et al. (2025) studied this question.

synapsesocial.com/papers/68d4508231b076d99fa5836fhttps://doi.org/10.31803/tg-20250326031336
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