Study of power efficiency of non-foster impedance matching for electrically small antenna

Xiaoju Yu, Qi Tang, Min Liang, Hao Xin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Electrically small antenna has attracted much attention because of its potential application in compact wireless communication and sensing systems. Matching is needed before any practical application for an electrically small antenna (ka < 1, k - wavelength number, a - radius of the smallest sphere that can surround the antenna) because it has an input impedance consisting of large reactance and small radiation resistance. An electrically small antenna matched by a lossless passive matching network, according to the Bode-Fano limit, has a narrow bandwidth limitation determined by the high-Q-factor property. A non-Foster element provides a negative reactance slope versus frequency which can cancel the corresponding positive reactance slope of the input impedance of an electrically small antenna. Thus by adding an active matching circuit properly designed with non-Foster element, the electrically small antenna may have a larger impedance bandwidth. Other than the antenna bandwidth, the power efficiency involving DC power dissipation of the antenna system can also be important.

Original languageEnglish (US)
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.
Pages130
Number of pages1
ISBN (Electronic)9781479937462
DOIs
StatePublished - Nov 12 2014
Event2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Memphis, United States
Duration: Jul 6 2014Jul 11 2014

Publication series

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

Other

Other2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014
Country/TerritoryUnited States
CityMemphis
Period7/6/147/11/14

ASJC Scopus subject areas

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

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