Improved S-Transform method in time-frequency domain for SAR RFI mitigation

With the rapid development of modern communication technology, synthetic aperture radar (SAR) is encountering increasingly severe radio frequency interference (RFI), which significantly affects signal processing and image interpretation. Traditional time-domain and frequency-domain mitigation methods are insufficient to effectively identify RFI characteristics in complex environments. Consequently, time-frequency transformation techniques, which integrate both time and frequency information, have become the key in addressing these issues，especially in wideband interference mitigation. The short-time Fourier transform (STFT) is commonly employed due to its simplicity and efficiency, yet it is limited by time-frequency resolution. While the S-transform achieves higher time-frequency resolution, its application in RFI mitigation is still limited by low execution efficiency and poor time-frequency concentration. To address these issues, an improved S-transform method in time-frequency domain for SAR RFI mitigation is proposed in this article. This method primarily focuses on the impact of time-frequency transformation itself on RFI mitigation. By optimizing the window parameters of the S-transform, it can better adapt to abrupt changes in the signal, achieving improved time-frequency resolution and concentration. The experimental results based on simulated and measured SAR data confirm the effectiveness and superiority of the proposed method.[pdf, SCI, EI, IF=xxx, CAS-G4, JCR-Q3]

Recommended citation:

W. Fan, P. Xu, X. Hu, G. Shu and N. Li, “Improved S-Transform method in time-frequency domain for SAR RFI mitigation,” in Remote Sensing Letters, vol. 16, no. 12, pp. 1414-1422, 2025. doi: 10.1080/2150704X.2025.2579805.

bibtex:

@ARTICLE{Li2022EMDRFI,
	author={Wenyi Fan and Puyan Xu and Xingwang Hu and Gaofeng Shu and Ning Li},
	journal={Remote Sensing Letters},
	title={Improved S-Transform method in time-frequency domain for SAR RFI mitigation},
	year={2025},
	month={Oct.},
	volume={16},
	number={12},
	pages={1414-1422},
	doi={10.1080/2150704X.2025.2579805},
}