Improved Spatial Processing through High-Fidelity Antenna Modeling

John N. Spitzmiller

Peer Reviewed

Abstract:	This paper describes an extension to a traditional spatial-processing algorithm which uses additional information available from recently developed high-fidelity antenna models. The paper provides the algorithmic extension’s full mathematical derivation which incorporates the detailed gain and polarization information from an antenna array’s individual elements and the desired and undesired communication nodes’ antennas. A practical scenario in which an array of antenna elements is mounted on a representative body demonstrates the algorithmic extension’s performance. In this scenario a computational electromagnetic solver first generates each array element’s gain and polarization data, accounting for the presence of the body and the other elements, to populate each element’s high-fidelity model. The algorithmic extension then uses these models to simultaneously achieve high effective gain in the direction of a desired communication node and very low effective gains in the directions of multiple undesired communication nodes.
Published in:	2020 IEEE/ION Position, Location and Navigation Symposium (PLANS) April 20 - 23, 2020 Hilton Portland Downtown Portland, Oregon
Pages:	612 - 623
Cite this article:	Spitzmiller, John N., "Improved Spatial Processing through High-Fidelity Antenna Modeling," 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, Oregon, April 2020, pp. 612-623. https://doi.org/10.1109/PLANS46316.2020.9110236
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In