Guided Jamming Method for Pseudo-code Phase-modulated Pulse Doppler Fuze Based on Generative Adversarial Nets

doi:10.12382/bgxb.2021.0504

Abstract

Abstract: For the pseudo-code phase-modulated pulse Doppler fuzes, conventional guided jamming methods have low interference efficiency due to the difficulty of accurately estimating the compound modulation signal parameters in low SNR environments. A guided jamming method for the pseudo-code phase-modulated pulse Doppler fuze based on the generative adversarial nets (GAN) is presented to solve this problem, which can effectively interfere with the pseudo-code phase-modulated pulse Doppler fuze at low SNR. First, the intermediate frequency signal obtained by down-conversion of the pseudo-code phase-modulated pulse Doppler fuze is preprocessed. Then, the denoised information such as time-frequency distribution and phase is obtained. Second, the GAN model is used with the time-frequency distribution data to generate highly correlated data with the fuze intermediate frequency signal without having to estimate the fuze parameters in a low SNR environment. Finally, the fuze interference signal is reconstructed using the time-domain waveform generated by the inverse transformation of the newly generated data. Simulation and experiment results show that the guided jamming method based on GAN can achieve a better jamming effect on the pseudo-code phase-modulated pulse Doppler fuze in low SNR environments.

Key words: pseudo-codephase-modulatedpulseDopplerfuze, guidedjamming, generativeadversarialnets, short-timeFouriertransform, waveformreconstruction

CLC Number:

TJ43⁺4.1

LI Jianfeng, YAN Xiaopeng, HAO Xinhong, YU Honghai. Guided Jamming Method for Pseudo-code Phase-modulated Pulse Doppler Fuze Based on Generative Adversarial Nets[J]. Acta Armamentarii, 2022, 43(10): 2534-2544.

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