Two-dimensional short-range microwave holography algorithm and convolutional gridding

Abstract

A new-style two-dimensional short-range microwave holography imaging technique is introduced to compensate the inadequateness of short-range millimeter-wave holography imaging. In this method, the scattered data collected includes not only back-scattered but also forward-scattered data, and the incident field obtained by simulation or measurement, can further improve the imaging quality and resolution. A simulation in FEKO about the algorithm is given to provide reference for practical applications. In this paper, a new technique has been proposed to reduce the alias by using convolution function gridding the microwave holographic data which are irregularly data. To choose a proper convolution function, the performance of alias rejection of different convolution functions has been analyzed, validate the spheroidal function is the most rejection alias convolution function. To evaluate the proposed technique, the convolution gridding used to interpolate the irregularly holographic data onto a rectangular gird is examined in detail, validate the convolution gridding can be reduced aliasing. The convolution grid algorithm will be used in the actual imaging system to process the irregular data.