Systematic extraction of static images from layered media green's function for accurate DCIM implementation

Feng Ling, Vladimir Okhmatovski, Ben Song, Enis Dengi

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The priority-queue-based ray tracing technique is utilized for convergence acceleration in the Michalski-Zhang's mixed potential dyadic Green's function components of multilayered media. The systematic nature of the prioritized ray tracing allows to determine the maximum number of extracted images beyond which the extraction does not improve the spectrum convergence any further, thus, yielding the fastest possible convergence in Sommerfeld integrands achievable through the closed-form static image extraction. Such information is shown to yield a substantial accuracy improvement in the Discrete Complex Image Method (DCIM).

Original languageEnglish (US)
Article number895289
Pages (from-to)215-218
Number of pages4
JournalIEEE Antennas and Wireless Propagation Letters
Volume6
DOIs
StatePublished - Dec 1 2007
Externally publishedYes

Fingerprint

Ray tracing
Green's function

Keywords

  • Complex image analysis
  • Dyadic green's functions
  • Multilayered media

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Systematic extraction of static images from layered media green's function for accurate DCIM implementation. / Ling, Feng; Okhmatovski, Vladimir; Song, Ben; Dengi, Enis.

In: IEEE Antennas and Wireless Propagation Letters, Vol. 6, 895289, 01.12.2007, p. 215-218.

Research output: Contribution to journalArticle

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