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A Method for Micro-Doppler Extraction Under Passive Radar Based on Communiction Signal

Passive radar based on communication signal has a great significance and potential in target detection and recognition for low-altitude surveillance, national air defences, etc. Micro-Doppler (m-D) effect is a unique signature of low-altitude targets with micro-motion, which provides a new technique for target recognition in low-altitude airspace. In this paper, based on orthogonal frequency division multiplexing (OFDM) communication signal, the echoes modelling and analysis of rotating target are operated, and the mathematical expression of m-D is deduced. Furthermore, the rotation features are extracted by a method based on single measurement vector orthogonal matching pursuit (SMV-OMP) algorithm. The feasibility of the proposed method is proved by the simulation results. The method could offer a reference to feature extraction of low-altitude micro-motion targets under passive radar.