Efficient technique for calculating near-fields due to 2-D sources

Abstract

Numerous methods exist to calculate near-fields from two-dimensional objects, however, relatively long computation times are generally required for reasonable accuracy. Computation is slowed primarily due to the calculation of near-fields using a singular kernel. The proposed work will develop an alternate, more efficient algorithm for calculating the near-fields from surface distributions. The Singularity Extraction Technique (SET) analytically extracts the contribution due to the near-singularity and implements the remaining portion numerically. Additionally, field contributions due to regions far removed from the field point are extracted out to further reduce the computational time. The implications here are a significant reduction in CPU time as well as improved accuracy. Computer programs are developed to implement and validate the SET. Testing includes comparison of the SET with analytic solutions to electromagnetic scattering for typical objects.