Smart noise jamming suppression method based on fast fractional filtering

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 modula...

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Main Authors: Bowen Han, Xiaopeng Yang, Xuchen Wu, Shuai Li
Format: Article
Language:English
Published: Wiley 2019-07-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0270
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author Bowen Han
Xiaopeng Yang
Xuchen Wu
Shuai Li
author_facet Bowen Han
Xiaopeng Yang
Xuchen Wu
Shuai Li
author_sort Bowen Han
collection DOAJ
description 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.
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spelling doaj.art-477ef84285544f3bab05b2f761f8c1042022-12-21T19:39:40ZengWileyThe Journal of Engineering2051-33052019-07-0110.1049/joe.2019.0270JOE.2019.0270Smart noise jamming suppression method based on fast fractional filteringBowen Han0Xiaopeng Yang1Xuchen Wu2Shuai Li3Beijing Key Laboratory of Embedded Real-time Information Processing Technology, School of Information and Electronics, Beijing Institute of TechnologyBeijing Key Laboratory of Embedded Real-time Information Processing Technology, School of Information and Electronics, Beijing Institute of TechnologyBeijing Key Laboratory of Embedded Real-time Information Processing Technology, School of Information and Electronics, Beijing Institute of TechnologyBeijing Key Laboratory of Embedded Real-time Information Processing Technology, School of Information and Electronics, Beijing Institute of TechnologySmart 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.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0270jammingpulse compressionradar signal processingfiltering theoryFourier transformsinterference suppressiondigital radiofrequency modulationsmart noise jamming suppression methodfast fractional filteringdigital radio frequency memoryoppressive jamming effectdeceptive jamming effecttraditional anti-jamming methodsanti-jamming methodlinear frequency modulation pulse compression radar systemfractional domainFrFT transformoptimal transform anglefourth-order origin momentnarrow-band filtertarget signaljamming signalfractional Fourier inverse
spellingShingle Bowen Han
Xiaopeng Yang
Xuchen Wu
Shuai Li
Smart noise jamming suppression method based on fast fractional filtering
The Journal of Engineering
jamming
pulse compression
radar signal processing
filtering theory
Fourier transforms
interference suppression
digital radio
frequency modulation
smart noise jamming suppression method
fast fractional filtering
digital radio frequency memory
oppressive jamming effect
deceptive jamming effect
traditional anti-jamming methods
anti-jamming method
linear frequency modulation pulse compression radar system
fractional domain
FrFT transform
optimal transform angle
fourth-order origin moment
narrow-band filter
target signal
jamming signal
fractional Fourier inverse
title Smart noise jamming suppression method based on fast fractional filtering
title_full Smart noise jamming suppression method based on fast fractional filtering
title_fullStr Smart noise jamming suppression method based on fast fractional filtering
title_full_unstemmed Smart noise jamming suppression method based on fast fractional filtering
title_short Smart noise jamming suppression method based on fast fractional filtering
title_sort smart noise jamming suppression method based on fast fractional filtering
topic jamming
pulse compression
radar signal processing
filtering theory
Fourier transforms
interference suppression
digital radio
frequency modulation
smart noise jamming suppression method
fast fractional filtering
digital radio frequency memory
oppressive jamming effect
deceptive jamming effect
traditional anti-jamming methods
anti-jamming method
linear frequency modulation pulse compression radar system
fractional domain
FrFT transform
optimal transform angle
fourth-order origin moment
narrow-band filter
target signal
jamming signal
fractional Fourier inverse
url https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0270
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AT xiaopengyang smartnoisejammingsuppressionmethodbasedonfastfractionalfiltering
AT xuchenwu smartnoisejammingsuppressionmethodbasedonfastfractionalfiltering
AT shuaili smartnoisejammingsuppressionmethodbasedonfastfractionalfiltering