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Modeling Aspects of Planar Multi-Mode Antennas for Direction-of-Arrival Estimation

Alkubti Almasri, Sami and Pöhlmann, Robert and Doose, Niklas and Hoeher, Peter A. and Dammann, Armin (2019) Modeling Aspects of Planar Multi-Mode Antennas for Direction-of-Arrival Estimation. IEEE Sensors Journal, 19 (12), pp. 4585-4597. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSEN.2019.2902674. ISSN 1530-437X.

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Multi-mode antennas are an alternative to classical antenna arrays, and hence a promising emerging sensor technology for a vast variety of applications in the areas of array signal processing and digital communications. An unsolved problem is to describe the radiation pattern of multi-mode antennas in closed analytic form based on calibration measurements or on electromagnetic field (EMF) simulation data. As a solution, we investigate two modeling methods: One is based on the array interpolation technique (AIT), the other one on wavefield modeling (WM). Both methods are able to accurately interpolate quantized EMF data of a given multi-mode antenna, in our case a planar four-port antenna developed for the 6–8.5 GHz range. Since the modeling methods inherently depend on parameter sets, we investigate the influence of the parameter choice on the accuracy of both models. Furthermore, we evaluate the impact of modeling errors for coherent maximum-likelihood directionof-arrival (DoA) estimation given different model parameters. Numerical results are presented for a single polarization component. Simulations reveal that the estimation bias introduced by model errors is subject to the chosen model parameters. Finally, we provide optimized sets of AIT and WM parameters for the multi-mode antenna under investigation. With these parameter sets, EMF data samples can be reproduced in interpolated form with high angular resolution.

Item URL in elib:https://elib.dlr.de/126624/
Document Type:Article
Title:Modeling Aspects of Planar Multi-Mode Antennas for Direction-of-Arrival Estimation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Alkubti Almasri, SamiUniversity of Kiel, GermanyUNSPECIFIEDUNSPECIFIED
Doose, NiklasUniversity of Kiel, GermanyUNSPECIFIEDUNSPECIFIED
Hoeher, Peter A.University of Kiel, GermanyUNSPECIFIEDUNSPECIFIED
Date:June 2019
Journal or Publication Title:IEEE Sensors Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 4585-4597
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:characteristic modes, array interpolation technique, wavefield modeling, transformation error, direction-of-arrival, maximum-likelihood estimation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Vorhaben GNSS2/Neue Dienste und Produkte (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Institute of Communication and Navigation
Deposited By: Pöhlmann, Robert
Deposited On:15 Mar 2019 14:04
Last Modified:31 Jul 2019 20:24

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