Simultaneously Azimuth-Pitch Super-Resolution Imaging for Ground-to-Air Radar

The echo received by ground-to-air radar is a range-azimuth-pitch three-dimensional data. After pulse compression, the data of each range unit can be regarded as an azimuth-pitch two-dimensional (2D) echo. The resolution of azimuth and pitch is limited to antenna aperture. In this paper, the well-known Wiener filtering, Richardson-Lucy (RL) and total variation (TV) methods are introduced to simultaneously improve the azimuth-pitch resolution of ground-to-air radar. We first analyze the received signal of ground-to-air-radar, and model the echo of each range unit as a 2D convolution of target reflectivity distribution and azimuth-pitch antenna pattern. Then we deduce the Wiener filter, RL and TV methods in detail, and theoretically realize the super-resolution imaging of the azimuth and pitch. Finally, the super-resolution performance of different methods is verified by simulation.