Gibbs Error Correction of the One-dimensional Synthetic Aperture Radiometer Based on CLEAN Algorithm

For the one-dimensional (1-D) synthetic aperture microwave radiometer with a small number of antenna elements, the system has a limited number of sampling baselines, which causes the truncated sampling in the special frequency domain, resulting in significant Gibbs errors in imaging results, and then affects the imaging quality of the synthetic aperture radiometer. In practical applications, the windowing function is usually chosen to suppress the Gibbs error, but the windowing function also reduces the spatial resolution of the radiometer system. Therefore, a correction algorithm based on CLEAN algorithm is proposed in order to suppress the Gibbs imaging error of the synthetic aperture radiometer. As an application, this method is implemented to a currently completed 8-element one-dimensional linear synthetic aperture radiometer ground prototype system, and the effectiveness of the CLEAN algorithm in suppressing the Gibbs error in the radiometer imaging results has been verified through a series of simulation experiments. In this paper, the basic principle of CLEAN algorithm is introduced in detail, and the effectiveness of the algorithm is verified by simulation experiments.