Research on SAR Anti-jamming Imaging Method with Sparse CP-OFDM

SHI Haixu; XU Zhongqiu; LI Guangzuo; LIN Kuan; HONG Wen

doi:10.11999/JEIT240092

Volume 46 Issue 12

Dec. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(12): 4441-4450

SHI Haixu, XU Zhongqiu, LI Guangzuo, LIN Kuan, HONG Wen. Research on SAR Anti-jamming Imaging Method with Sparse CP-OFDM[J]. Journal of Electronics & Information Technology, 2024, 46(12): 4441-4450. doi: 10.11999/JEIT240092

Citation:

SHI Haixu, XU Zhongqiu, LI Guangzuo, LIN Kuan, HONG Wen. Research on SAR Anti-jamming Imaging Method with Sparse CP-OFDM[J]. Journal of Electronics & Information Technology, 2024, 46(12): 4441-4450. doi: 10.11999/JEIT240092

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Research on SAR Anti-jamming Imaging Method with Sparse CP-OFDM

doi: 10.11999/JEIT240092 cstr: 32379.14.JEIT240092

1.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2.
Key Laboratory of Spatial Information Processing and Application System Technology, Beijing 100094, China
3.
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101499, China

Received Date: 2024-02-22
Rev Recd Date: 2024-11-06

Available Online: 2024-11-13

Publish Date: 2024-12-01

Abstract

Abstract

Synthetic Aperture Radar (SAR) is a microwave remote sensing imaging radar. In recent years, with the advancement of digital technology and radio frequency electronic technology, the jamming technology of SAR imaging is developed rapidly. The active jamming such as deception jamming based on Digital Radio Frequency Memory (DRFM) technology brings serious challenges to SAR imaging systems for civil use and military use. For research on SAR anti-jamming imaging against deception jamming, firstly, orthogonal waveform diversity design and waveform optimization is carried out for Orthogonal Frequency Division Multiplexing waveforms with Cyclic Prefixes (CP-OFDM). And the CP-OFDM wide band orthogonal waveform set with excellent autocorrelation peak sidelobe level and cross-correlation peak level is obtained. Then the sparse SAR imaging theory is introduced, which is combined with CP-OFDM. By using the sparse reconstruction method, the high-quality and high-precision imaging with anti-jamming capability is realized. Finally, simulation based on point targets, surface targets and real data is conducted, and it is proved that the method can completely remove the false targets generated by deception jamming, suppress sidelobes and achieve high-precision imaging.
- SAR anti-jamming,
- Cyclic Prefixes based Orthogonal Frequency Division Multiplexing (CP-OFDM),
- waveform diversity,
- Sparse SAR imaging

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References(16)

References

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