Photonics-Assisted Vivid False Target Imaging Deceptive Jamming Signal Generator Against SAR

The operating frequency and instantaneous bandwidth of synthetic aperture radar (SAR) deceptive jamming systems based on digital radio frequency memory (DRFM) is limited and may not be effective when encountering frequency agile or wide-bandwidth radar systems. A vivid false target imaging deceptive jamming signal generator against SAR based on microwave photonics is proposed to solve this limitation. The proposed deceptive jamming method eliminates the reliance on DRFM components for radar jamming systems against SAR. The operational frequency range and the instantaneous bandwidth are extended and high-fidelity false target images can be generated. A proof-of-concept experiment is implemented. SAR jamming waveforms in X and Ku bands are successfully generated. Vivid ship-shaped false targets are constructed in the SAR imaging results. The structural similarity (SSIM) and the peak signal-to-noise radio (PSNR) of generated false target SAR images are 0.7841 and 28.32 dB in the X band, and 0.8500 and 29.58 dB in the Ku band. A quantitative analysis is conducted to evaluate the impact of frequency drifts in the range and azimuth domains on the degradation of false target image quality. The effective deceptive region is also discussed. Experimental results demonstrate that the proposed jamming structure against SAR possesses the capability of vivid SAR false target image generation similar to that of electronic jamming systems while also possessing the large bandwidth advantages of microwave photonic systems.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Microwave Theory and Techniques
Published
2025-06-06
DOI
https://doi.org/10.1109/tmtt.2025.3574249
Citations
1
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
4.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photonics-Assisted Vivid False Target Imaging Deceptive Jamming Signal Generator Against SAR

Yuan Men, Aijun Wen, Cao Weiyu, Yuchao Wang
1 citations
IEEE Transactions on Microwave Theory and Techniques
Advanced SAR Imaging Techniques
4.99
article

Photonics-Assisted Vivid False Target Imaging Deceptive Jamming Signal Generator Against SAR

Yuan Men, Aijun Wen, Cao Weiyu, Yuchao Wang
article en
1 citations

Abstract

The operating frequency and instantaneous bandwidth of synthetic aperture radar (SAR) deceptive jamming systems based on digital radio frequency memory (DRFM) is limited and may not be effective when encountering frequency agile or wide-bandwidth radar systems. A vivid false target imaging deceptive jamming signal generator against SAR based on microwave photonics is proposed to solve this limitation. The proposed deceptive jamming method eliminates the reliance on DRFM components for radar jamming systems against SAR. The operational frequency range and the instantaneous bandwidth are extended and high-fidelity false target images can be generated. A proof-of-concept experiment is implemented. SAR jamming waveforms in X and Ku bands are successfully generated. Vivid ship-shaped false targets are constructed in the SAR imaging results. The structural similarity (SSIM) and the peak signal-to-noise radio (PSNR) of generated false target SAR images are 0.7841 and 28.32 dB in the X band, and 0.8500 and 29.58 dB in the Ku band. A quantitative analysis is conducted to evaluate the impact of frequency drifts in the range and azimuth domains on the degradation of false target image quality. The effective deceptive region is also discussed. Experimental results demonstrate that the proposed jamming structure against SAR possesses the capability of vivid SAR false target image generation similar to that of electronic jamming systems while also possessing the large bandwidth advantages of microwave photonic systems.

IEEE Transactions on Microwave Theory and TechniquesVol. 73(10)
Xidian University (CN)
China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities
Gender equality
Openalex Percentile: Top 6%
Advanced SAR Imaging Techniques
4.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.