High-resolution inverse synthetic aperture radar imaging of manoeuvring targets with sparse aperture

In high-resolution radar imaging, there is inevitable migration through range cells (MTRCs) in an inverse synthetic aperture radar (ISAR) image due to the manoeuvrability of the target. In the case of sparse aperture (SA) measurement, it is generally difficult to accurately correct MTRCs to degrade the imaging performance. An approach of SA-imaging jointly with MTRC correction for manoeuvring targets is presented. Under a chirp-Fourier dictionary by involving MTRCs, the ISAR image formation is treated as a sparse-driven optimisation to overcome the SA. Experiments based on the measured data are performed to confirm the effectiveness of the proposed algorithm.