Airborne SAR Suppression of Blanket Jamming Based on Second Order Blind Identification and Fractional Order Fourier Transform

Chen, Si; Lin, Yang; Yuan, Yue; Li, Jianchao; Wang, Xun; Zhu, Lingzhi; Zhang, Shuning

doi:10.1109/tgrs.2023.3294236

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…To effectively measure interference suppression algorithms, it is necessary to establish evaluation criteria for interference suppression. Two evaluation indicators are introduced, the Signal Distortion Ratio (SDR) [ 12 , 26 ] and Signal Noise Ratio (SNR) [ 13 , 26 ], and we then provide evaluation criteria for defining interference suppression. The SDR before and after interference suppression is defined as

where

represents the signal after interference suppression and

represents the interference-free signal interference.…”

Section: Suppression Based On Short-time Fractional Fourier Transformmentioning

confidence: 99%

“…Using this advantage, filters are designed to suppress interference signals. Such mathematical theories include Wigner Distribution [ 24 , 25 ], fractional Fourier transform (FrFT) [ 26 , 27 , 28 , 29 , 30 ], short-time Fourier transform (STFT) [ 31 , 32 , 33 ], or wavelets [ 31 , 34 , 35 ]. The second type of method models interference as high-order polynomials, reconstrues it, and then cancels it from the original interference.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Interference Suppression Algorithm Based on Short Time Fractional Fourier Transform

Guo,

Su,

Zhu

2024

Sensors

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Narrowband interference and wideband interference are both common jamming signals against synthetic aperture radar, which can degrade the signal severely. To suppress interference effectively, an interference suppression method based on short-time fractional Fourier transform (STFrFT) is proposed. After transforming the signal into the time–frequency domain through STFrFT, an adaptive gain coefficient is determined for the instantaneous frequency spectrum at every certain time. The gain coefficient can be preserved while suppressing the interference. Finally, we obtain the useful signal by inverse STFrFT. The simulation and performance analysis show the effectiveness and validity of the proposed algorithm for measured data.

show abstract

where

represents the signal after interference suppression and

represents the interference-free signal interference.…”

Section: Suppression Based On Short-time Fractional Fourier Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interference Suppression Algorithm Based on Short Time Fractional Fourier Transform

Guo,

Su,

Zhu

2024

Sensors

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show abstract

“…G. Li et al [25] developed a wideband noise suppression method based on de-chirping and double subspace extraction. Chen proposed a suppression method based on fractional Fourier change and second-order blind identification [38].…”

Section: Introductionmentioning

confidence: 99%

Improved Main Lobe Cancellation Method for Suppression Directional Noise in HFSWR Systems

Xiao,

Zhang,

Yang

et al. 2024

Remote Sensing

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High frequency surface wave radar (HFSWR) has been successfully developed for early warning, especially for vessel target detection. However, the system’s performance is consistently constrained by external environmental noise, particularly directional noise, which presents a new problem for HFSWR. Anisotropic directional noise has complex behavior, and its noise level is generally increased by 10 to 15 dB compared to traditional noise floor level. Suppressing varying directional noise and exploring obscured targets are challenging tasks for HFSWR. In this paper, a novel algorithm based on angle-Doppler joint multi-eigenvector synthesis, which considers the angle-Doppler map of radar echoes, is adopted to analyze the characteristics of the directional noise. Given the measured data set, we first analyze the directional noise-spatial correlation. Then, an algorithm based on sliding main lobe cancellation (SL-MLC) based on a sliding single-notch space filter (SSNSF) is proposed to block target components and get training data that contains precise directional noise information. Finally, the method is examined by measured data, and the results indicate the method has better performance for directional noise than the compared method.

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Full-coverage estimation of PM2.5 in the Beijing-Tianjin-Hebei region by using a two-stage model

Zeng

Tao

et al. 2023

Atmospheric Environment

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Airborne SAR Suppression of Blanket Jamming Based on Second Order Blind Identification and Fractional Order Fourier Transform

Cited by 6 publications

References 34 publications

Interference Suppression Algorithm Based on Short Time Fractional Fourier Transform

Interference Suppression Algorithm Based on Short Time Fractional Fourier Transform

Improved Main Lobe Cancellation Method for Suppression Directional Noise in HFSWR Systems

Full-coverage estimation of PM2.5 in the Beijing-Tianjin-Hebei region by using a two-stage model

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