Micro-Doppler Modulation of Space Target Based on Passive Interrupted Sampling

The micro-Doppler (mD) features have attracted significant attention in space target recognition. Consequently, changing the mD features is a viable approach to achieve antirecognition for space targets. Passive interrupted-sampling modulation (PISM) technology is renowned for its significant effect on altering the imaging features of targets. In this article, an mD modulation algorithm utilizing PISM for space targets is proposed, which can produce false components not only in high-resolution range profiles but also in the time–frequency distribution (TFD). Additionally, the principle of the false components produced by the algorithm is analyzed. At last, the proposed algorithm and analysis are validated through simulation and anechoic chamber measurements. The feature extraction results verify the antirecognition effect on the micromotion target.