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A micro-motion sequential separation method based on inverse Radon transform (IRT) is proposed. The method has an accumulation effect and, therefore can adapt to environment with relatively low signal-to-noise ratio (SNR). This method has the capability of antidiscontinuous tracking and thus is suitable in the multi-target tracking scenario. The method is a good candidate in large dynamic range scenes to detect relatively weak scatterers of micro-motions. It is more computationally efficient in comparison with the methods based on the Hough transform (HT).