Enhancement of RCS Calculation Accuracy and Computation Time Using Interpolation in Image-Based Near-Field to Far-Field Transformation

In modern weapon system design, measuring the radar cross section (RCS) is crucial. However, the establishment of a far-field measurement environment poses significant costs and security challenges. To overcome these limitations, methods that calculate the far-field RCS using image-based near-field-to-far-field transformation algorithms have been explored. However, accurately deriving the RCS requires a large number of near-field measurement samples, which increases the measurement and computation times. This paper proposes an algorithm that applies interpolation techniques to reflective image data obtained from near-field measurements, enabling high computational accuracy and efficiency with fewer samples. The proposed method was validated through simulations, demonstrating reduced measurement and computation times while maintaining precision.