LEARNING TO DETECT LPI RADAR SIGNALS: A STUDY OF STRUCTURE IN FREQUENCY MODULATED NOISE WAVEFORM

Authors

  • Pavlo Vyplavin Usikov Institute for Radiophysics and Electronics, National Academy of Sciences of Ukraine; Kyiv School of Economy https://orcid.org/0009-0001-7743-1373
  • Konstantin Lukin Usikov Institute for Radiophysics and Electronics, National Academy of Sciences of Ukraine; Instituto Technologia Aeronavtica, ITA, Sao Jose dos Campos, Brazil https://orcid.org/0000-0001-9998-9207

DOI:

https://doi.org/10.30888/2663-5712.2025-32-01-052

Keywords:

noise waveform, noise radar, LPI radar, neural network, non-cooperative detection

Abstract

This paper investigates the detectability of a structured noise radar waveform using a shallow convolutional neural network (CNN). The waveform under study is generated by frequency modulation of a constant-envelope carrier with low-bandwidth Gaussian noi

Metrics

Metrics Loading ...

References

Lukin K.A., Skresanov V.N., Zemlyaniy O.V. Frequency modulation technique for generation of millimeter wave noise signals // Proc. NRTW-2002. – Yalta, Crimea, Ukraine, 2002. – 18–20 September. – P. 171–176.

Lukin K.A. Noise radar technology // Radiophysics and Electronics. – Kharkiv: Institute for Radiophysics and Electronics of NASU, 1999. – Vol. 4, No. 3. – P. 105–111. (In Russian) (Translation published in Telecommun. Radio Eng., 2001. – Vol. 55, No. 12. – P. 8–16.)

Lukin K.A., Kantsedal V.M., Kulik V., Konovalov V.M., Mogyla A., Palamarchuk V., Sushchenko P.G. Experimental estimate of noise immunity for the short-range noise pulse radar subjected to the action of continuous active noises // Telecommunications and Radio Engineering. – 2012. – Vol. 71. – P. 771–790. DOI: 10.1615/TelecomRadEng.v71.i9.10

Beltrao G., Pralon L., Menezes M., Vyplavin P., Pompeo B., Pralon M. Subpulse processing for long range surveillance noise radars // International Conference on Radar Systems (Radar 2017). – 2017. – P. 171.

Lukin K., Mogyla A. Optimum Reception of Incoherent Noises Signals // 2006 International Radar Symposium. – Krakow, Poland, 2006. – P. 1–4. DOI: 10.1109/IRS.2006.4338124

Shirman Y.D., Orlenko V.M., Seleznev S.V. Present State and Ways of Passive Anti-LPI Radar Implementation // 2006 International Radar Symposium. – Krakow, Poland, 2006. – P. 1–4. DOI: 10.1109/IRS.2006.4338074

Govoni M.A., Li H., Kosinski J.A. Low Probability of Interception of an Advanced Noise Radar Waveform with Linear-FM // IEEE Transactions on Aerospace and Electronic Systems. – 2013. – Vol. 49, No. 2. – P. 1351–1356. DOI: 10.1109/TAES.2013.6494419.

Published

2025-07-30

How to Cite

Виплавін, П., & Лукін, К. (2025). LEARNING TO DETECT LPI RADAR SIGNALS: A STUDY OF STRUCTURE IN FREQUENCY MODULATED NOISE WAVEFORM. SWorldJournal, 1(32-01), 156–165. https://doi.org/10.30888/2663-5712.2025-32-01-052

Issue

Section

Articles