Study on CNN-Based Frequency-Hopping Signals Detection Scheme in Rayleigh Fading 


Vol. 45,  No. 3, pp. 602-608, Mar.  2020
10.7840/kics.2020.45.3.602


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  Abstract

The frequency-hopping (FH) system widely used in military communications has low probability of detection. The conventional detection scheme such as the spectrogram-based detection scheme has difficulty on detecting FH signals under the blind condition. Because of the short length of FH signals, energy leaks and results in a low signal-to-noise ratio issue. To alleviate the issue, we propose the CNN-based FH signals detection scheme. The CNN extracts spatial feature maps from FH signals and utilizes them for detection. To observe if the CNN-based detection scheme can be applied to realistic environment, experiments with Rayleigh fading is conducted. In simulation results, the CNN-based detection scheme detects FH signals under Rayleigh fading without learning the fading. Furthermore, the CNN-based detection scheme outperforms the conventional detection schemes.

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  Cite this article

[IEEE Style]

K. Lee and S. Oh, "Study on CNN-Based Frequency-Hopping Signals Detection Scheme in Rayleigh Fading," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 602-608, 2020. DOI: 10.7840/kics.2020.45.3.602.

[ACM Style]

Kyung-Gyu Lee and Seong-Jun Oh. 2020. Study on CNN-Based Frequency-Hopping Signals Detection Scheme in Rayleigh Fading. The Journal of Korean Institute of Communications and Information Sciences, 45, 3, (2020), 602-608. DOI: 10.7840/kics.2020.45.3.602.

[KICS Style]

Kyung-Gyu Lee and Seong-Jun Oh, "Study on CNN-Based Frequency-Hopping Signals Detection Scheme in Rayleigh Fading," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 602-608, 3. 2020. (https://doi.org/10.7840/kics.2020.45.3.602)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880