Micro-motion Feature Extraction of Space Target Based on Parametric Sparse Representation with Incoherence Signals

The micro-motion feature of space targets provide important information for automatic radar target recognition. However, with the existing micro-motion feature extraction methods, the coherence of echo signals is required, which is hard to be met in the practical. Therefore, aimed at the incoherence echo signals, a novel micro-motion feature extraction method based on parametric sparse representation is proposed in this paper. By making use of the Doppler sensitivity of the kind of signals which consist of several sub-pulses with stepped frequency, the instantaneous velocity of each scatters of the target can be estimated via parametric sparse representation, and then the micro-motion feature parameters can be extracted via fitting the obtained instantaneous velocity according to the mathematical expression of m-D effect. Simulations are given to validate the effectiveness and robustness of the proposed method.