A Novel Antibarrage Jamming Method for Multichannel SAR Systems Using Correlation Filtering

High-resolution wide-swath (HRWS) imaging in azimuth multichannel synthetic aperture radar (MC-SAR) is critical for remote sensing, yet electromagnetic jamming severely degrades image quality. Conventional multichannel jamming suppression techniques, such as multichannel cancellation methods, which require precise jammer localization and high pulse repetition frequency (PRF), conflict with HRWS requirements and often leave residual artifacts. This article proposes a jamming suppression method for MC-SAR systems. The received MC-SAR signals are processed via spatial beamforming to generate directional beams, enabling identification of the jamming-dominated beam through power analysis. Multichannel correlation filtering suppresses jamming, and via inverse spatial beamforming to recover residual signals, followed by a reconstruction filter to restore the SAR Doppler spectrum. Simulations and experiments on measured SAR data demonstrate effective jamming suppression, minimal artifacts, and reduced PRF requirements compared to multichannel cancellation methods, ensuring high-quality HRWS imagery.

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Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-08-25
DOI
https://doi.org/10.1109/jstars.2025.3602519
Citations
2
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
9.99
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article

A Novel Antibarrage Jamming Method for Multichannel SAR Systems Using Correlation Filtering

Yan Feng, Shaohui Mei, Jin Min, Shaojie Li et al.
2 citations
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Advanced SAR Imaging Techniques
9.99
article

A Novel Antibarrage Jamming Method for Multichannel SAR Systems Using Correlation Filtering

Yan Feng, Shaohui Mei, Jin Min, Shaojie Li, Shuangxi Zhang, Hongtao Zhan
article en
2 citations

Abstract

High-resolution wide-swath (HRWS) imaging in azimuth multichannel synthetic aperture radar (MC-SAR) is critical for remote sensing, yet electromagnetic jamming severely degrades image quality. Conventional multichannel jamming suppression techniques, such as multichannel cancellation methods, which require precise jammer localization and high pulse repetition frequency (PRF), conflict with HRWS requirements and often leave residual artifacts. This article proposes a jamming suppression method for MC-SAR systems. The received MC-SAR signals are processed via spatial beamforming to generate directional beams, enabling identification of the jamming-dominated beam through power analysis. Multichannel correlation filtering suppresses jamming, and via inverse spatial beamforming to recover residual signals, followed by a reconstruction filter to restore the SAR Doppler spectrum. Simulations and experiments on measured SAR data demonstrate effective jamming suppression, minimal artifacts, and reduced PRF requirements compared to multichannel cancellation methods, ensuring high-quality HRWS imagery.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 19
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 2%
Advanced SAR Imaging Techniques
9.99
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