Application of data‐compressing technique to far field pattern prediction in FDTD simulation | Zendy

Wang Sicong | Zendy; Zhou Baixin | Zendy; Yu Wenhua | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Application of data‐compressing technique to far field pattern prediction in FDTD simulation

Author(s) -

Wang Sicong,

Zhou Baixin,

Yu Wenhua

Publication year - 2004

Publication title -

microwave and optical technology letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.304

H-Index - 76

eISSN - 1098-2760

pISSN - 0895-2477

DOI - 10.1002/mop.20329

Subject(s) - finite difference time domain method , computer science , near and far field , field (mathematics) , transformation (genetics) , microwave , antenna (radio) , electronic engineering , algorithm , computational science , optics , engineering , telecommunications , mathematics , physics , biochemistry , chemistry , pure mathematics , gene

The data‐compressing technique, which has been broadly used in signal processing, is employed to efficiently predict the far‐field pattern in a finite‐difference time‐domain (FDTD) simulation. In this paper, we present a technique by which we compress the data of a surface‐field distribution on the surface of a Huygens' box and save it in a compressed file format that is much smaller than its original size. The far‐field pattern is predicted by using the reconstructed data in the time domain through the near‐to‐far‐field transformation module. A patch antenna is employed to validate the proposed scheme. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 42: 437–441, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20329

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research