On the Mutual Interference Between Spaceborne SARs: Modeling, Characterization, and Mitigation

Yang, Huizhang; Tao, Mingliang; Chen, Shengyao; Xi, Feng; Liu, Zhong

doi:10.1109/tgrs.2020.3036635

Cited by 41 publications

(5 citation statements)

References 29 publications

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“…Mining high-dimensional information to achieve the simultaneous suppression of multiple interferences is a potential approach [130]. However, mutual interference between multiple SARs is getting worse [131]. Mutual interference not only has the characteristics of suppressive jamming but also has the potential to deceive.…”

Section: Interference Suppressionmentioning

confidence: 99%

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

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The research into curvilinear flight synthetic aperture radar (CF-SAR) is the inevitable result of the comprehensive practicality of SAR. The flight path of the SAR platform in real applications, which is highly nonlinear or curvy due to three-dimensional velocity and acceleration, cannot be described by the traditional uniform linear motion model. New mathematical models, signal characteristics, imaging algorithms, and system design criteria must be proposed and investigated for CF-SAR. This paper provides a comprehensive overview of CF-SAR. Firstly, the basic concept, unified model, and general signal characteristics of CF-SAR are defined, derived, and analyzed, respectively. Additionally, the advantages and drawbacks of current methodologies are reviewed. Discussions on the CF-SAR’s applications are presented from the perspective of typical platforms, new configurations, and advanced technologies, which are suitable means to fulfill the increasing user requirements. Finally, the challenges faced by CF-SAR are summarized, and some future trends for the study of CF-SAR are explored. Hopefully, this paper will serve as a reference for SAR researchers/engineers and stimulate the future development and actual application of CF-SAR.

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Section: Interference Suppressionmentioning

confidence: 99%

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

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“…Building upon this, the work of [9] proposes a defocusing procedure to obtain pseudo-echo data and uses an improved ESP method and traditional frequency domain notching filter (FNF) for mitigating different scenarios of RFI. The research published in [31] introduces a robust principal component analysis (RPCA) method to directly remove RFI artifacts caused by LFM signals in single-look complex (SLC) SAR images. The work of [32] proposes a twodimensional SPECtral ANalysis (2-D SPECAN) for removing LFM radar interference in spaceborne SAR images [33].…”

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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“…Synthetic aperture radar (SAR) technology is developing rapidly, driven by the demands of military reconnaissance and the progression of signal-processing technology [1][2][3][4]. Compared with other radars, SAR has a large scale, and high resolution-imaging and targetrecognition capabilities [5][6][7][8][9]. The above-mentioned capabilities have posed a great threat to reconnaissance targets.…”

Section: Introductionmentioning

confidence: 99%

A Novel Jamming Method against SAR Using Nonlinear Frequency Modulation Waveform with Very High Sidelobes

et al. 2022

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Synthetic aperture radar (SAR) systems have the capacity for day-and-night and all-weather surveillance, which has become increasingly indispensable for military surveillance and global comprehensive environmental monitoring. With the development of the high-resolution SAR imaging technique, studies on SAR jamming have also received much interest. Traditional jamming methods are based on linear-frequency-modulated (LFM) signals, and this method can achieve high main-lobe jamming gain. However, its sidelobe jamming energy is very low. To solve this issue, a novel nonlinear frequency modulation (NLFM) waveform design method for SAR jamming is proposed in this paper. Compared with LFM waveforms, the designed waveforms have the same main-lobe jamming gain and very high sidelobes, which can significantly improve jamming performance. Moreover, detailed simulation experiments were carried out to verify the effectiveness of the newly proposed jamming scheme.

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On the Mutual Interference Between Spaceborne SARs: Modeling, Characterization, and Mitigation

Cited by 41 publications

References 29 publications

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

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

A Novel Jamming Method against SAR Using Nonlinear Frequency Modulation Waveform with Very High Sidelobes

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