Open AccessSmart noise jamming suppression method based on fast fractional filtering
Author(s) -
Han Bowen,
Yang Xiaopeng,
Wu Xuchen,
Li Shuai
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0270
Subject(s) - fractional fourier transform , jamming , radar jamming and deception , computer science , algorithm , digital radio frequency memory , noise (video) , signal (programming language) , frequency domain , filter (signal processing) , fourier transform , radar , electronic engineering , mathematics , telecommunications , pulse doppler radar , artificial intelligence , engineering , physics , computer vision , radar imaging , fourier analysis , mathematical analysis , image (mathematics) , thermodynamics , programming language
Smart noise jamming based on digital radio frequency memory (DRFM) has both oppressive jamming effect and deceptive jamming effect, and it is difficult to be effectively suppressed by traditional anti‐jamming methods. In order to solve this problem, an anti‐jamming method for linear frequency modulation (LFM) pulse compression radar system is proposed. The proposed method is combined with fractional Fourier transform (FrFT) and fractional domain filtering strategy. Here, first, the FrFT transform is performed on the received signal, and the optimal transform angle is calculated by calculating the fractional fourth‐order origin moment. Then, the narrow‐band filter is performed in the fractional domain to extract the target signal and suppress the jamming signal. Finally, fractional Fourier inverse transform is done to restore the target signal. The simulation results show that the method not only can effectively suppress smart noise jamming but also can accurately detect the position of the target.