Compressive Sensing for Jamming Signal Suppression and Restoration in Bistatic SAR

Synthetic aperture radar (SAR) is widely used in both civilian and military applications because of its ability to acquire imaging information pertaining to an observed area, regardless of weather conditions. However, it faces the challenge of reduced image quality due to radiofrequency interference (jamming). Recent studies on bistatic SAR, wherein the transmitter and receiver operate independently, have shown that the jamming signal can be weakened during reception because of the varied paths required to reach the receiver. Additionally, ground-based jammers may not accurately locate the receiver, resulting in a reduced impact of the jamming signal compared to monostatic SAR. This paper proposes a method to eliminate signals affected by jamming, leveraging the characteristics of bistatic SAR received signals. By suppressing the jamming signal and applying compressed sensing techniques to restore the lost signals, the proposed method achieves improved signal quality. Verification of the proposed method via simulations is also presented.

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Publication Details

Journal
The Journal of Korean Institute of Electromagnetic Engineering and Science
Published
2024-11-01
DOI
https://doi.org/10.5515/kjkiees.2024.35.11.929
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Compressive Sensing for Jamming Signal Suppression and Restoration in Bistatic SAR

Woo-Kyung Lee, He-Woo Lee, Jihoon Choi, Min-Ho Choi
The Journal of Korean Institute of Electromagnetic Engineering and Science
Sparse and Compressive Sensing Techniques
article

Compressive Sensing for Jamming Signal Suppression and Restoration in Bistatic SAR

Woo-Kyung Lee, He-Woo Lee, Jihoon Choi, Min-Ho Choi
article en

Abstract

Synthetic aperture radar (SAR) is widely used in both civilian and military applications because of its ability to acquire imaging information pertaining to an observed area, regardless of weather conditions. However, it faces the challenge of reduced image quality due to radiofrequency interference (jamming). Recent studies on bistatic SAR, wherein the transmitter and receiver operate independently, have shown that the jamming signal can be weakened during reception because of the varied paths required to reach the receiver. Additionally, ground-based jammers may not accurately locate the receiver, resulting in a reduced impact of the jamming signal compared to monostatic SAR. This paper proposes a method to eliminate signals affected by jamming, leveraging the characteristics of bistatic SAR received signals. By suppressing the jamming signal and applying compressed sensing techniques to restore the lost signals, the proposed method achieves improved signal quality. Verification of the proposed method via simulations is also presented.

The Journal of Korean Institute of Electromagnetic Engineering and ScienceVol. 35(11)
Agency for Defense Development
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Openalex Percentile: Top 74%
Sparse and Compressive Sensing Techniques
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Compressive Sensing for Jamming Signal Suppression and Restoration in Bistatic SAR — Woo-Kyung Lee, He-Woo Lee, et al. · The Journal of Korean Institute of Electromagnetic Engineering and Science (2024) | TGRS Research Map | TGRS