Radio Frequency Interference (RFI) in Synthetic Aperture Radar (SAR) is
a daunting challenge that affects the SAR sensing reliability and its
image quality. To ensure that SAR remains a powerful tool for Earth
observation, this paper presents an effective two-dimensional tuneable
attenuation space-frequency (azimuth-range) filtration. This framework
is based on key components including time-frequency features of level-0
SAR data, radar antenna pattern, and the estimated parameters of the
interference signal. Additionally, a signal power localization method is
applied to estimate the relative position of the interference source
with 95% accuracy to facilitate applying the tuneable filter. Simulated
results are obtained using a public open-source spaceborne SAR emulator,
SEMUS, for generating emulated clean and contaminated SAR raw data.
Furthermore, the filtration framework is successfully tested on
real-life interference events on the TerraSAR-X satellite raw data.