Micro-Doppler feature extraction under passive radar based on orthogonal frequency division multiplexing communication signal

Abstract

Micro-Doppler (m-D) effect is a unique signature of radar targets with micro-motion, which provides a new technique for target recognition. Passive radar based on communication signal has a great significance in detection and recognition for micro-motion targets, low-altitude surveillance and control, national air defences etc. In this study, based on orthogonal frequency division multiplexing communication signal, the echo modelling and analysis of rotating target are operated, and the expression of the target m-D is deduced. Furthermore, the rotation frequency is extracted by sinusoidal frequency modulation Fourier-Bessel series. The feasibility of the proposed method is proved by the simulation results. The method could offer a reference to feature extraction of micro-motion targets under passive radar.

Keywords

• doppler radar
• radar target recognition
• ofdm modulation
• feature extraction
• passive radar
• radar signal processing
• bessel functions
• fourier series
• passive radar
• micromotion targets
• low-altitude surveillance
• national air defences
• rotating target
• rotation frequency
• sinusoidal frequency modulation fourier-bessel series
• radar targets
• target recognition
• micro-doppler feature extraction
• orthogonal frequency division multiplexing communication signal
• micro-doppler effect