A NOVEL ALGORITHM FOR WIDEBAND RFI DETECTION IN SAR BASED ON CROSS-CORRELATION DIVERGENCE
Keywords
DOI:
https://doi.org/10.34238/tnu-jst.14692Abstract
Wideband radio frequency interference in synthetic aperture radar systems refers to wideband electromagnetic signals that significantly degrade image quality during correlation processing of the reflected signal. This paper focuses on addressing the problem of detecting wideband radio frequency interference at different energy levels by identifying anomalies in the probability distribution. A novel method, called cross-correlation divergence, is proposed based on the characteristics of the probability distribution combined with the properties of cross-correlation. The performance of the cross-correlation divergence method is evaluated and compared with three algorithms: Kullback–Leibler divergence, Jensen–Shannon divergence, and Bhattacharyya distance. Experimental results show that the cross-correlation divergence method achieves superior detection performance, with a false alarm rate of 6.3% and a miss rate of 5.1%. Furthermore, cross-correlation divergence achieved the lowest computational cost (0.024 s), comparable to Bhattacharyya distance but lower than Kullback–Leibler divergence (0.028 s) and Jensen–Shannon divergence (0.026 s).Downloads
References
L. I. N. Yang, H. Zheng, J. Feng, N. Li, and J. Chen, "Detection and suppression of narrow band RFI for synthetic aperture radar imaging," Chinese Journal of Aeronautics, vol. 28, no. 4, pp. 1189-1198, 2015.
W. Xu, W. Xing, C. Fang, P. Huang, W. Tan, and Z. Gao, "RFI suppression for SAR systems based on removed spectrum iterative adaptive approach," Remote Sensing, vol. 12, no. 21, 2020, Art. no. 3520.
Y. Ding, W. Fan, Z. Zhang, F. Zhou, and B. Lu, "Radio frequency interference mitigation for synthetic aperture radar based on the time-frequency constraint joint low-rank and sparsity properties," Remote Sensing, vol. 14, no. 3, 2022, Art. no. 775.
W. Fan, F. Zhou, M. Tao, X. Bai, P. Rong, S. Yang, and T. Tian, "Interference mitigation for synthetic aperture radar based on deep residual network," Remote Sensing, vol. 11, no. 14, 2019, Art. no. 1654.
J. Yu, J. Li, B. Sun, J. Chen, and C. Li, "Multiclass radio frequency interference detection and suppression for SAR based on the single shot multibox detector," Sensors, vol. 18, no. 11, 2018, Art. no. 4034.
Y. He, X. Tan, J. Yang, F. Gao, H. Dang, and J. Hu, "Wideband interference suppression for SAR using short-time fractional Fourier transform method," IET International Radar Conference (IET IRC 2020), Online Conference, 2020, pp. 887-891, doi: 10.1049/icp.2021.0706.
S. Kong, W. Ye, G. Lao, and W. Zhang, "The Method of SAR RFI Suppression Based on Compressed Sensing," in 2016 4th International Conference on Machinery, Materials and Computing Technology, Atlantis Press, 2016, pp. 733-738.
Z. Wang, W. Yu, J. Li, Z. Yu, Y. Zhao, and Y. Luo, "Radio frequency interference mitigation in synthetic aperture radar data based on instantaneous spectrum forward consecutive mean excision," Remote Sensing, vol. 16, no. 1, 2023, Art. no. 150.
H. Liu, D. Li, Y. Zhou, and T.-K. Truong, "Simultaneous radio frequency and wideband interference suppression in SAR signals via sparsity exploitation in time–frequency domain," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 10, pp. 5780-5793, 2018.
X. Wang, W. Yu, X. Qi, and Y. Liu, "RFI suppression in SAR based on filtering interpretation of SSA and fast implementation," EURASIP Journal on Advances in Signal Processing, vol. 2012, pp. 1-10, 2012.
W. Xu, W. Xing, C. Fang, P. Huang, and W. Tan, "RFI suppression based on linear prediction in synthetic aperture radar data," IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 12, pp. 2127-2131, 2020.
T. Miller, L. Potter, and J. McCorkle, "RFI suppression for ultra wideband radar," IEEE Transactions on Aerospace and Electronic Systems, vol. 33, no. 4, pp. 1142-1156, 2002.
Y. Mao, H. Yan, X. Yu, X. Chen, Z. Zhang, Z. Chen, and W. Hong, "A Novel Group-Parametric Model for RFI Suppression on Spaceborne SAR," IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-14, 2024.
Y. Huang, G. Liao, J. Li, and J. Xu, "Narrowband RFI suppression for SAR system via fast implementation of joint sparsity and low-rank property," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 5, pp. 2748-2761, 2018.
M. Tao, J. Su, Y. Huang, and L. Wang, "Mitigation of radio frequency interference in synthetic aperture radar data: Current status and future trends," Remote Sensing, vol. 11, no. 20, 2019, Art. no. 2438.
H. Yang, P. Lang, Y. He, X. Lu, Z. Liu, and J. Yang, "Lambda-1 Detector: Adaptive Interference Detection in Synthetic Aperture Radar Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-13, 2025, Art no. 5202613, doi: 10.1109/TGRS.2025.3529623.
H. Yang, Y. He, Y. Du, T. Zhang, J. Yin, and J. Yang, "Two-Dimensional Spectral Analysis Filter for Removal of LFM Radar Interference in Spaceborne SAR Imagery," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5219016, doi: 10.1109/TGRS.2021.3132495.
A. Monti-Guarnieri, D. Giudici, and A. Recchia, “Identification of C-Band Radio Frequency Interferences from Sentinel-1 Data,” Remote Sensing, vol. 9, no. 11, 2017, Art. no. 1183.
