An Improved Ghost Imaging Method with Resolution Analysis

By applying traditional ghost imaging method in optical systems to microwave field, super-resolution could be realized ignoring Rayleigh criterion. In this paper, an improved ghost imaging method is proposed to provide quality imaging results based on Tikhonov regularization and wavelet transform. Tikhonov regularization is used to solve the sparse problem, while the wavelet transform is used to locate the edge of the target. An effective rank theory is used to provide a reference for the validity of the preset resolution ratio. By using this method, the azimuth and range dimension of the target can be located accurately. This calculation method is verified by modeling using CST MWS. A series of waveguide slot antennas are used to provide detection fields and a horn antenna is used as receiving antenna. The modeling results proved the feasibility of the whole method.