An investigation on gridding technique for radio astronomical image reconstruction

As a challenge in the research of digital signal processing, gridding is a method of interpolating irregularly sampled data onto a uniform grid and is a critical image reconstruction step in several applications which operate on non-Cartesian sampled data. In this paper, in the lights of previous studies on gridding algorithm research, we focus on the possible gridding methods such as DFT, convolution gridding method and matrix inversion method which might be used for astronomical image reconstruction of radio astronomy. We analysis and compare the related methods and finally present the advantages of each algorithm respectively. The investigation would contribute the research on reconstruction of radio astronomical images.