Simultaneous Screening and Detection of RFI From Massive SAR Images: A Case Study on European Sentinel-1

Li, Ning; Zhang, Hengrui; Lv, Zongsen; Lin, Min; Guo, Zhengwei

doi:10.1109/tgrs.2022.3191815

Cited by 23 publications

(8 citation statements)

References 48 publications

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“…In this paper, the original data of C-band SAR satellite Sentinel-1 containing RFI and the experimental simulation interference data are selected as the experimental test data set to verify and analyze the system RFI detection and suppression results [7] . The experimental data information used in the system test is shown in Table 1.…”

Section: System Testingmentioning

confidence: 99%

Design and implementation of spaceborne SAR radio frequency interference detection and suppression system

Hu,

Zhang,

et al. 2023

International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023)

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Spaceborne synthetic aperture radar (SAR) is an active radar system carried on a satellite, with the help of synthetic aperture technology to achieve all-day, all-weather, high-resolution imaging, it has been widely used in military reconnaissance, resource exploration, deep space exploration and other fields. As the electromagnetic environment becomes more and more complex, spaceborne SAR is more likely to receive radio frequency interference (RFI) from other radar equipment in the working frequency band, which will affect the interpretation of SAR images and lead to image quality degradation. Although there are endless methods for RFI detection and suppression, each method has its limitations and can only deal with specific interference scenarios. A unified, robust and high-precision SAR interference detection and suppression platform is urgently needed. Based on SAR signal processing technology, this paper uses multiple methods to jointly design a unified high-robust system for SAR data containing different types of RFI, and realizes efficient detection and suppression of spaceborne SAR RFI. The popularization and application of this system is of great significance to improve the anti-interference ability of SAR system, improve the processing efficiency of a large number of SAR data in complex scenes and ensure the accuracy of data.

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Section: System Testingmentioning

confidence: 99%

Design and implementation of spaceborne SAR radio frequency interference detection and suppression system

Hu,

Zhang,

et al. 2023

International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023)

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“…[1][2][3][4][5][6][7]. RFI suppression methods can be divided into two categories: RFI suppression methods based on level-0 products and those based on level-1 products [8].…”

Section: Introductionmentioning

confidence: 99%

A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain

Tong,

Lu,

Yang

et al. 2024

Sensors

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In synthetic aperture radar (SAR) signal processing, compared with the raw data of level-0, level-1 SAR images are more readily accessible and available in larger quantities. However, an amount of level-1 images are affected by radio frequency interference (RFI), which typically originates from Linear Frequency Modulation (LFM) signals emitted by ground-based radars. Existing research on interference suppression in level-1 data has primarily focused on two methods: transforming SAR images into simulated echo data for interference suppression, or focusing interference in the frequency domain and applying notching filters to reduce interference energy. However, these methods overlook the effective utilization of the interference parameters or are confined to suppressing only one type of LFM interference at a time. In certain SAR images, multiple types of LFM interference manifest bright radiation artifacts that exhibit varying lengths along the range direction while remaining constant in the azimuth direction. It is necessary to suppress multiple LFM interference on SAR images when original echo data are unavailable. This article proposes a joint sparse recovery algorithm for interference suppression in the SAR image domain. In the SAR image domain, two-dimensional LFM interference typically exhibits differences in parameters such as frequency modulation rate and pulse width in the range direction, while maintaining consistency in the azimuth direction. Based on this observation, this article constructs a series of focusing operators for LFM interference in SAR images. These operators enable the sparse representation of dispersed LFM interference. Subsequently, an optimization model is developed that can effectively suppress multi-LFM interference and reduce image loss with the assistance of a regularization term in the image domain. Simulation experiments conducted in various scenarios validate the superior performance of the proposed method.

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“…Among the many interferences, the RFI and DJ are the most threatening to the SAR system. Owing to the limited spectrum resources and the requirement for SAR to transmit large bandwidth signals to achieve high resolution in range, a large number of high-energy signals (collectively referred to as RFIs) emitted by base stations, such as mobile phones and broadcasters, enter the frequency band occupied by SAR signals [1], [2], [3], [4]. Eventually, RFIs appear in the SAR image as extremely bright line segments.…”

Section: Introductionmentioning

confidence: 99%

Joint Radio Frequency Interference and Deceptive Jamming Suppression Method for Single-Channel SAR via Subpulse Coding

Nie

Liao

Zeng

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The radio frequency interference (RFI) and deceptive jamming (DJ), as two major external threats to synthetic aperture radar (SAR) systems, can greatly reduce the readability and veracity of the obtained SAR images. Current interference suppression methods have no capability to suppress both of them. In this article, a subpulse coding (SPC)-based joint RFI and DJ suppression method for single-channel SAR systems is proposed. By making full use of the elaborate coding scheme and subpulse transmitting mode, SPC can effectively suppress RFIs in the Doppler domain. On the other hand, after the decoding process, by utilizing the subpulse digital beamforming (DBF) technology with the well-designed DBF weight vectors, DJs can also be suppressed greatly. Numerical experiments verify the effectiveness of the proposed method.

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Simultaneous Screening and Detection of RFI From Massive SAR Images: A Case Study on European Sentinel-1

Cited by 23 publications

References 48 publications

Design and implementation of spaceborne SAR radio frequency interference detection and suppression system

Design and implementation of spaceborne SAR radio frequency interference detection and suppression system

A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain

Joint Radio Frequency Interference and Deceptive Jamming Suppression Method for Single-Channel SAR via Subpulse Coding

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