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Enhanced Gain Extrapolation Technique: a third-order scattering approach for high-accuracy antenna gain, sparse sampling, at Fresnel distances

Published

Author(s)

Joshua Gordon, Benjamin Moser

Abstract

In this paper we describe an enhanced three-antenna gain extrapolation technique that allows one to determine antenna gain with significantly fewer data points and at closer distances than with the well-established traditional three-antenna gain extrapolation technique that has been in use for over five decades. As opposed to the traditional gain extrapolation technique, where high-order scattering is purposely ignored so as to isolate only the direct antenna-to-antenna coupling, we show that by incorporating third-order scattering the enhanced gain extrapolation technique can be obtained. The theoretical foundation using third-order scattering is developed and experimental results are presented comparing the enhanced technique and traditional technique for two sets of internationally recognized NIST reference standard gain horn antennas at X-band and Ku-band. We show that with the enhanced technique gain values for these antennas are readily obtained to within stated uncertainties of ±0.07 dB using as few as 10 data points per antenna pair, as opposed to ≈ 4000 -to- 8000 data points per antenna pair that is needed with the traditional technique. Furthermore, with the described enhanced technique, antenna-to-antenna distances can be reduced by a factor of three, and up a factor of six in some cases, compared to the traditional technique — a significant reduction in the overall size requirement of facilities used to perform gain extrapolation measurements.
Citation
IEEE Transactions on Antennas and Propagation

Keywords

Antenna, antenna gain, gain, gain extrapolation, sparse measurements.

Citation

Gordon, J. and Moser, B. (2024), Enhanced Gain Extrapolation Technique: a third-order scattering approach for high-accuracy antenna gain, sparse sampling, at Fresnel distances, IEEE Transactions on Antennas and Propagation, [online], https://doi.org/10.1109/TAP.2024.3478330, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957876 (Accessed January 17, 2025)

Issues

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Created October 17, 2024, Updated January 2, 2025