A method for optimizing the precision of weighted fourier integral transformation algorithm

Abstract

RCS refers to the radar cross section, which is an important index to reflect the electromagnetic scattering characteristics of the object. RCS measurement is the only method to obtain the real RCS of objects. Since test range often cannot reach the far-field condition for large size object, the near-field-to-far-field transformation(NFFFT) technology is significant in the RCS measurement. The core of NFFFT are different algorithms. Among them, the weighted fourier integral transformation is a universal algorithm, but the data in the aspect angle is segmented in the process, which leads to the discontinuity of the transformation results at the splicing point. This paper introduces a method to optimize the precision of weighted fourier integral transformation algorithm, which can fully suppress the discontinuity of transform results and improve the precision of weighted fourier integral transformation algorithm under the paraxial constraint conditions. Finally, the result of simulation demonstrates the precision and efficiency of this method.