Parametric sparse representation of target vibrations in SAR using orthogonal matching pursuit

This paper proposes a method of precise micro-Doppler analysis of vibrating targets in synthetic aperture radar (SAR) imagery. The raw SAR data is first processed using a modified backprojection approach to generate a time series of the ground target before a sparse representation approach using the orthogonal matching pursuit algorithm is used to de-noise the data. By incorporating the actual pulse timings from the SAR metadata during the dictionary construction, the method effectively handles the variable pulse repetition frequencies of modern SAR sensors. Experimental validation with real spaceborne SAR data containing an oscillating corner reflector demonstrates millimeter-level displacement accuracy, confirming the efficacy of the proposed approach for precise vibration measurement.