The Sliding Truncation Matched Filter for Periodic Pulse Interference Mitigation in Spaceborne SAR

In practical applications, periodic pulse radio frequency interference is often detected in spaceborne synthetic aperture radar echoes. The current suppression methods for such interference mostly adopt a three-step processing flow: 'time-domain detection, notch filtering, and missing data repair.' However, most of these methods focus on improving time-domain detection performance while ignoring the impact of the interference-to-signal pulse repetition frequency ratio on the effectiveness of data repair algorithms. To this end, this article proposes a sliding truncation matched filter (STMF) that dynamically constructs a range-dependent azimuth reference function by adaptively truncating the matched filter according to the range-variant Doppler centroid. This enables coherent azimuth compression while suppressing ghost targets induced by periodic signal loss. The effectiveness of the STMF is validated through simulations and real-measured data experiments.