Fractional Fourier transform based monopulse radar for combating jamming interference

Elgamel, Sherif A.; Soraghan, John J.

doi:10.1049/ic.2010.0221

Cited by 4 publications

(3 citation statements)

References 9 publications

(11 reference statements)

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“…Furthermore, the proposed technique performs FrFT and inverse FrFT before the conventional radar signal processing. Clearly, one can now figure out that the white Gaussian noise component n(t) in the received radar signal remains the same after applying the proposed technique according to Equations (11) and (15). Moreover, the proposed technique benefits from the radarmatched filter gain.…”

Section: F I G U R E 3 the Block Diagram Of The Proposed Anti-jammingmentioning

confidence: 99%

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Countering self‐protection smeared spectrum jamming against chirp radars

Hanbali

2021

IET Radar Sonar & Navi

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Chirp radars are vulnerable to various types of deceptive jamming for example, smeared spectrum (SMSP) jamming that generates multiple false targets, which lead and lag the true target. Unfortunately, the radar system cannot distinguish the true target from the false ones because the jamming signal looks like the true target echo. A new anti-jamming technique to suppress false targets and identify the true target easily is introduced. The proposed technique benefits from the fact that SMSP jamming signal has a different frequency modulation slope from that of the radar signal. Therefore, the differences between SMSP jamming signal and the true target echo can be identified. The efficiency of the proposed technique is confirmed by theoretical analysis and simulation experiments. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: F I G U R E 3 the Block Diagram Of The Proposed Anti-jammingmentioning

confidence: 99%

“…But the performance of this method is affected by the bandwidth of the BPF. In addition, the true target peak position in the fractional domain cannot be easily calculated because the true target is masked by jamming [11]. In [12], a method for SMSP jamming detection is proposed.…”

Section: Introductionmentioning

confidence: 99%

Countering self‐protection smeared spectrum jamming against chirp radars

Hanbali

2021

IET Radar Sonar & Navi

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“…However, these techniques have some drawbacks that make them unsuitable to counter frequency-shifting jammer. Recently, FrFT filtering is used for combating high-power manmade interference against radar, with the assumption that the target position in the radar return window is known [12]. More recently, the works in [13–15] focus on countering deceptive jamming based on DRFM only.…”

Section: Introductionmentioning

confidence: 99%

Fractional Fourier transform-based chirp radars for countering self-protection frequency-shifting jammers

Hanbali

Kastantin

2017

Int. J. Microw. Wireless Technol.

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Self-protection deceptive jammers create at the radar receiver output multiple-false targets that are impossible to isolate in both time and frequency domains. In this paper, we introduce a novel technique based on fractional Fourier transform (FrFT) to discriminate between the true target echo and those false targets in the case of frequency-shifting jammers. In fact, we exploit the capability of the FrFT to resolve, in a matched manner, spectra that are overlapping in time and frequency. This is a property that cannot be achieved using a standard matched filter. The theoretical analysis of this technique is presented and its effectiveness is verified by simulation.

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Adaptive suppression method of radar jamming in joint time frequency domain

Meng

You-guang

et al. 2014

Proceedings of 2nd International Conference on Information Technology and Electronic Commerce

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A novel radar adaptive jamming suppression method based on joint time-frequency transformation is proposed. Confronting the challenges of non-stationary jamming signals that radar receives, a new technique is presented to deal with them. Firstly, the time-frequency characteristics of radar received signal are analyzed by short-time Fourier transform (STFT). Secondly, an adaptive filter function is constructed in STFT domain. By applying a proper threshold to the timefrequency modulus spectrum (TFMS), strong jamming signal can be adaptively eliminated, polluted signal can be shrunk slightly and the useful signals can be retained. Finally, simulations validate the efficiency of our new method.

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Fractional Fourier transform based monopulse radar for combating jamming interference

Cited by 4 publications

References 9 publications

Countering self‐protection smeared spectrum jamming against chirp radars

Countering self‐protection smeared spectrum jamming against chirp radars

Fractional Fourier transform-based chirp radars for countering self-protection frequency-shifting jammers

Adaptive suppression method of radar jamming in joint time frequency domain

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