2010Unpublished venueRequires access

Standard gain horn computations versus measured data

Donald George Bodnar

Open publisher page 3 citations

Abstract

Specially designed pyramidal horn antennas known as standard-gain horns are accepted as gain standards throughout the antenna community. The unknown gain of an AUT is determined by comparing its gain to that of a standard gain horn. Slayton of the US Naval Research Laboratory in 1954 developed a design method and gain curves for standard gain horns. This paper examines the ability of modern numerical electromagnetic modeling to predict the gain of these horns and possibly achieve greater accuracy than with the NRL approach.

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What this paper is about

Specially designed pyramidal horn antennas known as standard-gain horns are accepted as gain standards throughout the antenna community. The unknown gain of an AUT is determined by comparing its gain to that of a standard gain horn. Slayton of the US Naval Research Laboratory in 1954 developed a design method and gain curves for standard gain horns. This paper examines the ability of modern numerical electromagnetic modeling to predict the gain of these horns and possibly achieve greater accuracy than with the NRL approach.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Specially designed pyramidal horn antennas known as standard-gain horns are accepted as gain standards throughout the antenna community. The unknown gain of an AUT is determined by comparing its gain to that of a standard gain horn. Slayton of the US Naval Research Laboratory in 1954 developed a design method and gain curves for standard gain horns. This paper examines the ability of modern numerical electromagnetic modeling to predict the gain of these horns and possibly achieve greater accuracy than with the NRL approach.

Key concepts: Antenna gain, Horn antenna, High-gain antenna, French horn, Automatic gain control, Antenna (radio), Computation, Information gain

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