Image Quality Enhancement in the Microwave Raster Scanning Method

We propose signal processing algorithms to improve the quality of the images obtained with microwave raster scanning measurements. These algorithms include: (1) blind deconvolution and (2) microwave holography. The first algorithm removes the integration effect of the antenna aperture using complex-valued blind deconvolution. The second algorithm implements near-field microwave holographic imaging applied to the data already processed by the first algorithm. As a result the images are further improved. The improvement in the image quality is demonstrated through simulation and measurement. The focus is on the microwave imaging of biological tissues.