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Neural Network Approach for Wideband RCS Computation with Wide Incident Angles via Method of Moments

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By WoonGi Bin, SangHyuk An, WooZoo Chung
| preprints.org
Submitted: 30 January 2026 You are already at the latest version In this paper, we present a deep neural network–based approach for computing radar cross section (RCS) over a wide frequency band and a broad range of incident angles.The proposed network, termed WBRCS-Net, is designed to converge to the solution of the method of moments (MoM) formulation by minimizing a mean-squared residual loss without explicitly solving the MoM linear system, thereby avoiding the numerical instabilities...
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