Far-field pattern reconstruction using an iterative Hilbert transform

Fan Fan, Tapan K. Sarkar, Changwoo Park, Jinhwan Koh

Research output: Contribution to journalArticle

Abstract

A new approach to reconstructing antenna far-field patterns from the missing part of the pattern is presented in this paper. The antenna far-field pattern can be reconstructed by utilizing the iterative Hilbert transform, which is based on the relationship between the real and imaginary part of the Hilbert transform. A moving average filter is used to reduce the errors in the restored signal as well as the computation load. Under the constraint of the causality of the current source in space, we could successfully reconstruct the data. Several examples dealing with line source antennas and antenna arrays are simulated to illustrate the applicability of this approach.

Original languageEnglish (US)
Pages (from-to)1032-1039
Number of pages8
JournalIEICE Transactions on Communications
VolumeE98B
Issue number6
DOIs
StatePublished - Jun 1 2015

Keywords

  • Antenna pattern
  • Causality in the spatial domain
  • Data interpolation
  • Iterative Hilbert transform
  • Pattern reconstruction

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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