Deception Jamming Against Doppler Beam Sharpening Radars

Frazer, Gareth; Balleri, Alessio; George, Jacob

doi:10.1109/access.2020.2973191

Cited by 7 publications

(2 citation statements)

References 25 publications

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“…Such methods are often limited by physical conditions and sometimes do not work well. Doppler beam sharpening (DBS) [3,4] plays an important role in radar signal processing and imaging, and this method uses the relative motion between the radar and the target to improve the angular resolution. However, the application of the Doppler beam sharpening method is limited due to the presence of a forward detection blind area.…”

Section: Introductionmentioning

confidence: 99%

A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

Mao,

Li,

Huang

et al. 2024

IET Radar Sonar & Navi

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Beamforming is an effective way of resolving target direction and anti‐jamming in short wave (SW) radar systems. In conventional beamforming (CBF) at a certain frequency, to get high resolution, the array aperture should be increased, and this is often not allowed in practical applications. A new narrow beam forming (NBF) method for beam sharpening based on the generalised oblique projection (GOP) filter with a flexible parameter is proposed. This method uses a GOP filter bank to form deep nulls in the undesired azimuth range on the pattern and utilises the logic product process to synthesise the GOP filters’ outputs and thus obtains a narrow beam. Compared to traditional beamforming methods, the result of NBF has the characteristics of narrower beam width and bigger side lobe suppression ratio (SLSR). Especially, a narrower beam can be obtained in the case of a small array aperture, which is valuable for practical applications. Experimental results of the range‐Doppler spectrum of short wave radar show that this narrow beam forming method can achieve super resolution of targets within a wide beam and greatly suppress clutter. Therefore, NBF can improve the azimuth resolution and achieve interference suppression in a conventional beam.

show abstract

Section: Introductionmentioning

confidence: 99%

A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

Mao,

Li,

Huang

et al. 2024

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…However, existing methods for generating the jamming waveform often rely on predetermined assumptions regarding radar signal parameters and detection algorithms. Consequently, these techniques have limited adaptability to accommodate diverse and evolving radar systems [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Adaptive optimization technology of segmented reconstruction signal based on genetic algorithm for enhancing radar jamming effect

Wang,

Shi

et al. 2023

Front. Phys.

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Given the improved capabilities of radar systems, addressing unfamiliar signals presents a challenge for radar jamming technology. To tackle this issue, this study proposes an adaptive technique for optimizing jamming waveforms to suppress multiple false targets in escort jamming scenarios. The objective is to minimize the detectability of false targets by fine-tuning phase modulation and individual waveform parameters. The optimization model adjusts the energy and delay of jamming waveform segments using intercepted radar signal phase modulation and direct forwarding. Real-time adaptation is achieved through the utilization of a genetic algorithm and radar constant false alarm rate detection based on received emissions. The key findings highlight the advantages of adaptivity in effectively suppressing false targets under diverse conditions. The technique successfully learns efficient waveforms through feedback, even without specific knowledge of the radar system. The optimized waveforms maintain consistent jamming impact across different constant false alarm rate settings, surpassing the limitations associated with fixed assumptions. The introduction of phase modulation enhances the resilience of false targets by creating noise-like characteristics. Remarkably, robust jamming is achieved with only 12 false targets, reducing complexity. The unified waveform design is particularly suitable for single platform jamming, eliminating the need for multiple jammers. Furthermore, the optimized waveforms demonstrate improved coverage of real targets under position errors. As a result, the approach exhibits versatility across various signals, processing methods, and scenarios. This study suggests that increased adaptability and the incorporation of machine learning techniques contribute to the advancement of radar jamming capabilities. By optimizing jamming waveforms, the adaptive approach presented in this study may enhance the effectiveness of countering advanced radar systems.

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Anti-jamming radar waveform design for repeater jammer using reinforcement learning

Aziz,

Habib,

Maud

et al. 2024

Vehicular Communications

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Deception Jamming Against Doppler Beam Sharpening Radars

Cited by 7 publications

References 25 publications

A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

Adaptive optimization technology of segmented reconstruction signal based on genetic algorithm for enhancing radar jamming effect

Anti-jamming radar waveform design for repeater jammer using reinforcement learning

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