Systems Engineering and Electronics ›› 2026, Vol. 48 ›› Issue (4): 1174-1185.doi: 10.12305/j.issn.1001-506X.2026.04.08

• Sensors and Signal Processing • Previous Articles    

A method for resolving range mainlobe broadening in SAR frequency-shift deception jamming

Tianyou HUANG(), Huifu LIN, Chao YANG, Tao LAI(), Qingsong WANG, Haifeng HUANG   

  1. School of Electronics and Communication Engineering,Sun Yat-sen University,Shenzhen 518107,China
  • Received:2025-01-13 Revised:2025-03-03 Accepted:2026-02-28 Online:2025-07-03 Published:2025-07-03
  • Contact: Tao LAI E-mail:2879460980@qq.com;lait3@mail.sysu.edu.cn

Abstract:

In large-scene jamming scenarios, due to the bandwidth limitations of SAR processing, wide-range frequency shifts can result in bandwidth loss in the jamming signal, leading to range mainlobe broadening, degradation of false target imaging quality and reduced fidelity of deception jamming. This broadening also causes variations in imaging quality with respect to frequency offset, reducing the fidelity of the jamming. To enhance the fidelity of large-scene frequency-shift deception jamming, this paper proposes a bandwidth extrapolation method based on signal extension, addressing the range mainlobe broadening caused by frequency shift. Firstly, the jammer obtains the intermediate-frequency (IF) signal using a dechirp reception method. Then, a Kalman predictive filter is designed to extend the IF signal in the time domain. Next, the extended IF signal undergoes frequency-shift modulation. Finally, up-conversion generates the bandwidth-extrapolated jamming signal. Simulation results demonstrate that the proposed method significantly improves the range resolution of false point targets with large range offset and the imaging quality of false scenes, thereby effectively resolving the range mainlobe broadening issue in SAR frequency-shift deception jamming.

Key words: synthetic aperture radar (SAR), frequency-shift deception jamming, range mainlobe broadening, bandwidth extrapolation, signal extension, Kalman predictive filter

CLC Number: 

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