A Two-Stage Approach for TSNB and ITWB RFI Mitigation in P- and L-Band SAR Data

Lv, Zongsen; Zhang, Zhimin; Fan, Huaitao; Chen, Zhen; Qiu, Jinsong; Wu, Yulun

doi:10.1109/taes.2023.3336641

Cited by 1 publication

(1 citation statement)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although this approach is straightforward and effective, it tends to distort the target signals when confronting intricate RFI. Numerous researchers have put forth sophisticated interference separation and signal reconstruction methodologies, including the low-rank and sparse decomposition model (Huang Y., et al,2021), as well as alternating projection techniques (Lv Z., et al, 2024). Nonetheless, these methods may not adequately recover the phase, which poses challenges for interferometric applications.…”

Section: Introductionmentioning

confidence: 99%

On the RFI Detection in Differential Interferometric Synthetic Aperture Radar

Liu,

Tao,

et al. 2024

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Synthetic Aperture Radar (SAR) can image the ground with a wide area and high resolution at all times and in all weather and has become an important means of remote sensing. Differential interferometry SAR technology can obtain high-precision surface deformation information by processing more than two SAR images before and after deformation. In recent years, it has attracted widespread attention and research. However, due to the increasing number of ground electronic devices, ground radio frequency interference (RFI) has become one of the main problems in differential interferometry SAR processing, seriously affecting the performance of differential interferometry SAR imaging and differential interferometry surface deformation monitoring applications. In this paper, a clutter cancellation interference enhancement detection algorithm is proposed. By clutter suppression in the primary and secondary images, the interference-to-signal ratio is increased, which effectively improves the interference detection capabilities. The effectiveness of the algorithm in this paper is verified by the on-orbit measured data of the Lutan-1 satellites.

show abstract

Section: Introductionmentioning

confidence: 99%