Siberian Federal University

Issue

Journal of Siberian Federal University. Engineering & Technologies. 2025 18 (5)

Authors

Podstrigaev, Alexey S.; Kalinin, Dmitry A.; Tran Huu Nghi; Nguyen Trong Nhan

Contact information

Podstrigaev, Alexey S. : Saint Petersburg Electrotechnical University Saint Petersburg, Russian Federation; Kalinin, Dmitry A. : Saint Petersburg Electrotechnical University Saint Petersburg, Russian Federation; ; Tran Huu Nghi: Viettel Aerospace Institute Hanoi, Vietnam; Nguyen Trong Nhan: Air Defense-Air Force Technical Institute Hanoi, Vietnam

Keywords

pulse overlap; weak pulse detection; fast Fourier transform, window weighting

Abstract

This paper proposes an algorithm for detecting weak pulses against a powerful pulse. Justification of the parameters of the developed algorithm was performed using computer modelling in the MATLAB. The thresholds for detecting weak pulses against a powerful unmodulated radio pulse were obtained depending on the signal-to-noise ratio (SNR) for different types of weighting windows, the number of fast Fourier transform (FFT) points and the probability of false detection for a weak pulse. It is shown that at the SNR of a relatively powerful unmodulated radio pulse of at least 30 dB, the required threshold value of weak pulse detection for the Hamming window is 7.5…8 dB lower than for the Hann window, and 27.5…29 dB lower than for a rectangular window. Increasing the number of FFT points from 256 to 1024 allows us to reduce the threshold value of weak pulse detection by 3…6 dB. Reducing the probability of false detection for a weak pulse from 10–3 to 10–7 requires increasing the threshold value for weak pulse detection by 1.2…5.2 dB

Pages

670–680

EDN

OLXGUY

Paper at repository of SibFU

https://elib.sfu-kras.ru/handle/2311/156684

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).