Spatial Processing Using High-Fidelity Models of Dual-Polarization Antenna Elements

Authors

  • John N. Spitzmiller Integration and Production Program Directorate Parsons, Huntsville, AL 35806, USA
  • Sanyi Y. Choi Integration and Production Program Directorate Parsons, Huntsville, AL 35806, USA

DOI:

https://doi.org/10.13052/2022.ACES.J.370103

Keywords:

antenna arrays,, beamforming,, nullsteering,, polarization matching, spatial filters, spatial processing

Abstract

This paper generalizes a recent improvement to a traditional spatial-processing algorithm to optimally use body-mounted arrays of dual-polarization radio-frequency antenna elements rather than single-polarization antenna elements. The paper’s generalized algorithm exploits high-fidelity far-field gain and polarization data, generated most practically by a computational electromagnetic solver (CES), to characterize the antenna array’s individual dual-polarization elements. Using this characterization and that of the desired and undesired communication nodes’ antennas, the generalized algorithm determines the array’s optimal weights. The subsequent application of a CES to a practical scenario, in which an optimally weighted array of dual-polarization antenna elements is mounted on a representative body, demonstrates the generalized algorithm’s exceptional spatial-processing performance.

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Author Biographies

John N. Spitzmiller, Integration and Production Program Directorate Parsons, Huntsville, AL 35806, USA

John Spitzmiller has worked for Parsons (formerly Cobham Analytic Solutions and SPARTA, Inc.) in Huntsville, Alabama since 2006. He has served as Chief Engineer of Offensive Missile Programs since 2011. In this position he has worked on a wide variety of efforts involving analysis, modeling, simulation, and assessment of radar, RF-navigation, RF-telemetry, and electronic-warfare systems. Parsons named him a Fellow in 2018. From 1999 to 2006, he served as an electronics engineer in the Scientific and Technical Modeling and Simulation Branch of the Defense Intelligence Agency’s Missile and Space Intelligence Center on Redstone Arsenal, Alabama. From 1995 to 1999, he worked in the Sensor Systems and Technologies Department at Dynetics, Inc. in Huntsville, Alabama. A 1994 Goldwater Scholar, he graduated summa cum laude with a B.S. in electrical engineering from the University of Missouri at Rolla in 1995. He subsequently earned an M.S.E. and Ph.D. in electrical engineering from the University of Alabama in Huntsville. His current research interests include advanced techniques for signal, image, and spatial processing and linear and nonlinear state estimation.

Sanyi Y. Choi, Integration and Production Program Directorate Parsons, Huntsville, AL 35806, USA

Sanyi Choi is a senior engineer at Parsons Government Services, where she has been employed since 2018. She is responsible for performing radar system analysis, modeling, and simulation. She has primarily supported the Defense Intelligence Agency/Missile and Space Intelligence Center (DIA/MSIC) with advanced signal processing methodologies and Synthetic Aperture Imaging. From 2010 to 2018 she was with Northrop Grumman Corp. in Huntsville, Alabama where she worked in Enhanced Command and Control Battle Management and Communications (EC2BMC) activities in support of the Missile Defense Agency (MDA) as a system engineer supporting on the development of advanced discrimination algorithm. She earned a B.S.E. and M.S.E. in electrical engineering from the University of Alabama in Huntsville.

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Published

2022-05-04

How to Cite

Spitzmiller, J. N., & Choi, S. Y. . (2022). Spatial Processing Using High-Fidelity Models of Dual-Polarization Antenna Elements. The Applied Computational Electromagnetics Society Journal (ACES), 37(1), 19–33. https://doi.org/10.13052/2022.ACES.J.370103

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Articles