A Multiple-Transmitting and Multiple-Receiving Predicting Far-Field RCS Algorithm Based on CNFFFT

When the Circular Near-Field to Far-Field Transformations (CNFFFT) is used to near-field to far-field transformation observed over a large range of angles, there is an angular error to the theoretical far-field results. In this paper, a multi-receiving and multi-transmitting RCS near-field to far-field Transformation based on the CNFFFT is proposed. By using a form of multi-transmitting and multi-receiving this method increases the number of effective phase centers in the system and obtains more information about a scene. The RCS near-field to far-field transformations are performed in different phase centers using CNFFFT. The data are stitched together by using the results of each small-angle transformation to achieve accurate RCS near-field to far-field transformation in the full angles. By using two groups of scatterer respectively consisting of five and nine ideal scattering points, the near-field to far-field transformation simulation experiments based on this method are performed. Results verify the correctness and effectiveness of this method.