Microwave three-dimensional imaging under sparse sampling based on MURA code

This paper utilizes Modified Uniformly Redundant Arrays (MURA) code as the criterion to realize sparse sampling in aperture plane, for the purpose of reducing bearing data storage. A geometry of microwave three-dimensional (3D) imaging is modeled, and the combination of ωK algorithm and Median Filter (MF) is adopted to achieve 3D image in the condition of sparse sampling. In addition, the imaging reconstruction based on Compressed Sensing (CS) and spatial sparsity is evaluated to make comparision. Numerical simulation and error analysis demonstrate the validity of proposed 3D imaging methods.