Blind Restoration Method for Near- field Millimeter-wave SAIR

Due to the fact that the real millimeter-wave (MMW) images of imaging scene are unknown, it is difficult to judge that which reconstructed image is more close to real MMW image. In this paper, we propose a novel blind restoration method (BRM) for synthetic aperture imaging radiometer (SAIR) to reconstruct the MMW image more close to the real MMW images. According to different parameter sensitivity of SAIR's imaging models, BRM first to find the matching parameters by comparing the error between different imaging methods to improve the accuracy of imaging model. Then, the optimal images (close to real MMW image) will be reconstructed by the improved imaging model with matching parameters. The simulation results demonstrate that the proposed method can find the real images for SAIR effectively.