Moving Ground Target Detection With Main-Lobe Jamming Based on Fractional Fourier Transform and Differential Cancellation

Lü, Jian; Yang, Jian; Liu, Xinghai; Wang, Haiyang; Liu, Guangbin; Geng, Zhi

doi:10.1109/jsen.2018.2885975

Cited by 11 publications

(3 citation statements)

References 20 publications

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“…From Equation (12), it is indicated that the background in the feature domain will be smoothed due to the correlation of the jamming signal. However, for the range cell with expected targets, the signal ratio feature is different from the smoothed background according to Equation (10), which means that targets are highlighted due to its spatial independence among different receivers.…”

Section: 22mentioning

confidence: 99%

“…In monostatic radar, several ECCM strategies have been proposed to combat main-lobe blanket jamming, which can be suppressed in time domain, space domain, frequency domain, polarization domain or their combinations [6][7][8][9][10][11][12][13][14][15]. However, the frequency domain method will severely reduce its jamming suppression performance when the frequency band of jamming signal covers that of the target echo.…”

Section: Introductionmentioning

confidence: 99%

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Main‐lobe jamming suppression and target detection in signal ratio feature domain for multistatic radar

Liu

2021

The Journal of Engineering

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Main-lobe blanket jamming is a challenging jamming pattern in electronic warfare. Based on the difference in spatial correlation between target echoes and jamming signals, signal cancellation has been used to suppress the main-lobe jamming in multistatic radar. However, the cancellation residue and the extra superimposed noise would lead to serious degradation in target detection. In this paper, instead of cancelling the jamming in the power domain, a feature domain, named signal ratio feature domain, is defined to suppress main-lobe jamming with the excepted targets retained simultaneously. The jamming signal is suppressed in the background due to the high correlation among different receivers, whereas the targets will be highlighted on account of its independence. Then, in the defined feature domain, a target detector with constant false alarm ratio in the Neyman-Pearson sense is applied to detect the highlighted targets. Numerical simulation is given to verify the jamming suppression ability of the proposed method, and the performance improvement in target detection compared with the available cancellation methods is also covered.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: 22mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Main‐lobe jamming suppression and target detection in signal ratio feature domain for multistatic radar

Liu

2021

The Journal of Engineering

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“…Lu et al 22 modeled Main-lobe Jamming based on FRFT and Differential Cancellation for moving ground target detection. Here, second coherent incorporation was exploited to recognize the targets and the moving targets were suppressed in the fractional domain.…”

Section: Literature Surveymentioning

confidence: 99%

Visual features and Deep Maxout Network‐based moving target detection using radar signals under sea clutter

Battula

Jaya

2021

Int J Intell Syst

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Radar echoes have emerged as a rapid technology that is utilized in a wide range of applications especially in target identification under sea-clutter background. The detection of moving targets under a sea-clutter background is still a complex task because of the entering and evacuating of targets, which is highly unpredictable and unexpectable. Because of the lack of essential information, target detection and parameter estimations have become key constraints. Besides, it is very difficult to differentiate directly the small targets from the clutter background. However, the accurate location of the target cannot be determined exactly by the existing approaches.To address such limitations, an efficient strategy is proposed in this study for recognizing the moving targets under sea-clutter background using the proposed Magnetic Ant Lion Optimization algorithm, which is derived by the integration of Magnetic Optimization and Ant Lion Optimization. However, the proposed method achieves effective performance in terms of detection rate, mean-squared error, and the missed target rate with the values of 0.988, 0.012, and 0.224 for vertical-horizontal polarity.

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Joint beam selection and power allocation in cognitive collocated MIMO radar for potential guidance application under oppressive jamming

Xie

Zhang

et al. 2022

Digital Signal Processing

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Moving Ground Target Detection With Main-Lobe Jamming Based on Fractional Fourier Transform and Differential Cancellation

Cited by 11 publications

References 20 publications

Main‐lobe jamming suppression and target detection in signal ratio feature domain for multistatic radar

Main‐lobe jamming suppression and target detection in signal ratio feature domain for multistatic radar

Visual features and Deep Maxout Network‐based moving target detection using radar signals under sea clutter

Joint beam selection and power allocation in cognitive collocated MIMO radar for potential guidance application under oppressive jamming

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