Non-uniform sampling schemes for fast multilevel source imaging of reflector antenna surfaces

Alexander Gergel, Amir Boag

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Reconstruction of the radiating fields or equivalent currents on a closed surface enclosing a radiating body, also termed source imaging, is a widely used method in antenna diagnosis for estimating inaccuracy of antenna fabrication or localizing antenna malfunction. The Rayleigh-Sommerfeld (RS) formulation with incoming wave Green function (A. J. Devaney, Mathematical foundations of imaging, tomography and wavefield inversion. Cambridge University Press, 2012) is used in this work to enable the back-propagation from the scalar field measurement on a planar surface. This method provides a good approximation for the field backpropagated from the measurement plane towards the source, though, due to truncation errors, it is suitable mostly for the metrology of directional arrays or large reflector antennas. Direct evaluation of the discretized back-propagation integral is characterized by a computational complexity (CC) of O(N4), where N=ka (a and k being the radius of the smallest sphere circumscribing the measurement domain and the wavenumber, respectively). For antennas that are very large compared to the wavelength, this computational bottleneck renders this approach unattractive. Significant reduction of the CC down to O(N 2logN) is achieved using a modified version of the multilevel non-uniform grid (MLNG) (Y. Brick and A. Boag, IEEE Trans. Ultrason., Ferroelectr., Freq. Control, 57/1, 262-273, 2010).

Original languageEnglish
Title of host publication2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73
Number of pages1
ISBN (Electronic)9781479937462
DOIs
StatePublished - 12 Nov 2014
Event2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Memphis, United States
Duration: 6 Jul 201411 Jul 2014

Publication series

Name2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings

Conference

Conference2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014
Country/TerritoryUnited States
CityMemphis
Period6/07/1411/07/14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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