A modeling approach is developed for planar leaky-wave antennas (LWAs) where the guiding surface is characterized as a scalar transfer impedance such that the structure is represented by its transverse equivalent network in the spectral domain. This modeling procedure allows antenna designers to represent LWAs with an equivalent circuit which includes the antenna source for radiated power calculations and efficiency investigations. To demonstrate these concepts a numerical example is provided of a single-layer metallic strip grating LWA printed on a grounded dielectric slab. Proposed modeling techniques can also be applied to other single-layer LWA structures as well as more advanced multilayer configurations.

Baccarelli, P. (2014). A circuits-based modeling approach for leaky-wave antennas using a transverse equivalent network representation. In Proceedings 2014 URSI General Assembly. IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA [10.1109/URSIGASS.2014.6929077].

A circuits-based modeling approach for leaky-wave antennas using a transverse equivalent network representation

BACCARELLI, PAOLO
2014-01-01

Abstract

A modeling approach is developed for planar leaky-wave antennas (LWAs) where the guiding surface is characterized as a scalar transfer impedance such that the structure is represented by its transverse equivalent network in the spectral domain. This modeling procedure allows antenna designers to represent LWAs with an equivalent circuit which includes the antenna source for radiated power calculations and efficiency investigations. To demonstrate these concepts a numerical example is provided of a single-layer metallic strip grating LWA printed on a grounded dielectric slab. Proposed modeling techniques can also be applied to other single-layer LWA structures as well as more advanced multilayer configurations.
2014
9781467352253
Baccarelli, P. (2014). A circuits-based modeling approach for leaky-wave antennas using a transverse equivalent network representation. In Proceedings 2014 URSI General Assembly. IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA [10.1109/URSIGASS.2014.6929077].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/327903
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