Abstract: A two-dimensional short-range microwave holography imaging algorithm has been introduced. In this method, the scattered data collected includes not only back-scattered but also forward-scattered data, and without any assumptions on incident fields of the target, which obtained entirely by either measurement or simulation. This method has higher robust to noise performance and imaging resolution, more suitable for short-range imaging. To investigate the factors in the practical application of the algorithm, we using FEKO software to simulate the scattered field and the incident field of the target, validate the algorithm can obtain high quality target image. For the aliasing in the algorithm caused by external interference sources, and so on. We proposed using convolution gridding method to process the collected scattered data to correct the grid. Several typical convolution functions are given, validate the spheroidal function which has stronger rejection aliased is an optimal convolution function by compared and analyzed its performance of rejection aliased.