Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Polarization-current-based, finite-difference time-domain, near-to-far-field transformation

Not Accessible

Your library or personal account may give you access

Abstract

A near-to-far-field transformation algorithm for three-dimensional finite-difference time-domain is presented in this Letter. This approach is based directly on the polarization current of the scatterer, not the scattered near fields. It therefore eliminates the numerical errors originating from the spatial offset of the E and H fields, inherent in the standard near-to-far-field transformation. The proposed method is validated via direct comparisons with the analytical Lorentz–Mie solutions of plane waves scattered by large dielectric and metallic spheres with strong forward-scattering lobes.

© 2009 Optical Society of America

Full Article  |  PDF Article
More Like This
Implementing the near- to far-field transformation in the finite-difference time-domain method

Peng-Wang Zhai, Yong-Keun Lee, George W. Kattawar, and Ping Yang
Appl. Opt. 43(18) 3738-3746 (2004)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (2)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (10)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.