Journal of Radio Electronics. eISSN 1684-1719. 2024. №12
Full text in Russian (pdf)
DOI: https://doi.org/10.30898/1684-1719.2024.12.11
ALGORYTHM OF DETECTION PROBING SIGNALS
WITH LINEAR FREQUENCY MODULATION
BY NEURAL NETWORK PROCESSING THEIR SPECTRA
ON OUTPUT OF AUTOCORRELATOR
M.O. Berdnik
Military Educational and Scientific Center of the Air Force
«N.E. Zhukovsky and Y.A. Gagarin Air Force Academy»,394064, Russia, Voronezh, Starykh Bolshevikov St., 64
The paper was received July 28, 2024.
Abstract. The article discusses the features of usage the neural network approach in the problem of detecting signals with linear frequency modulation at the output of an autocorrelation scheme. The results demonstrate significantly reduce the number of false alarms compared to the traditional method based on threshold processing.
Key words: radiolocation, linear frequency modulation, autocorrelation scheme, threshold processing, false alarm, neural networks, deep learning.
Corresponding author: Berdnik Maksim Olegovich, m.berdnik@internet.ru
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For citation:
Berdnik M.O. Algorythm of detection probing signals with linear frequency modulation by neural network processing their spectra on output of autocorrelator. // Journal of Radio Electronics. – 2024. – №. 12. https://doi.org/10.30898/1684-1719.2024.12.11 (In Russian)