Near-to-Far Field RCS Calculation Using Correction Optimization Technique

Radar cross section (RCS) is a scattering measure of an object that scatters to the radar. However, existing methods for near-field (NF) measurement and data processing rarely extract amplitude characteristics, there lack effective verification far-field (FF) in process NF FF transformation, which leads inaccuracies prediction accuracy. In this paper, we propose method establish relationship between RCS using state space (SSM), based on accurate estimation measurement, then deriving from signal convolved with near-to-far kernel. The proposed solution address uncertainty issue reference involves geometric theory diffraction (GTD) center model as establishing linear equation derived model. negative gradient search (NGS) system identification concept used optimize order reduce discrepancy values. Finally, corrected error provided additional proof effectiveness these techniques enhancing transformation accuracy by examining outcomes three experiments.