Anti-jamming range imaging using slope-varying LFM signal based on compressed sensing

By varying the rate of linear frequency modulation (LFM) signal, radar could effectively penalize a Digital Radio Frequency Memory (DRFM) detective jammer to some extent. Since the enemy utilizes inaccurate information of the radar signal to generate false targets. However, with the increment of false targets and the disturbance-signal-ratio (DSR) of radar echoed signal, the capacity of traditional imaging method based on matched filtering may decline seriously. In this paper, an anti-jamming range imaging strategy based on the compressed sensing (CS) theory is proposed. By utilizing the diversity of the slope of the true and false target signals, the separation of true/false targets can be achieved in radar range profile imaging via the sparse representation algorithm. Compared to traditional method based on matched filtering, the proposed method proves to be superior in achieving the recovery and separation of true/false targets with the avoidance of sidelobes and higher resolution, especially when the jamming level is comparatively high and the number of the false target scatter centers increases.