ISAR Imaging With Wideband V-FM Waveforms via Dual-Channel CS-D

In this paper, a framework for inverse synthetic aperture radars (ISAR) imaging with wideband V-FM waveforms is investigated, where the dual-channel compressed-sensing-based dechirping (CS-D) algorithms are applied to achieve high-resolution range profiles (HRRPs) of moving targets. The final HRRPs are reconstructed via the synthesis of the two HRRPs recovered from the two independent channels with CS-D. The ISAR formation is achieved from the Fourier transform-based azimuth compression methods being applied to the rearranged 2-D array of HRRPs. Simulated trials of targets modeled as point scatterers are conducted and the final well-focused images demonstrate the effectiveness of the proposed dual-channel CS-D algorithm in ISAR imaging with wideband V-FM waveforms.