Exploiting Multimode Antennas for MIMO and AoA Estimation in Size-Constrained IoT Devices

Abel Zandamela; Alessandro Chiumento; Nicola Marchetti; Max J. Ammann; Adam Narbudowicz

doi:10.1109/LSENS.2023.3244870

Exploiting Multimode Antennas for MIMO and AoA Estimation in Size-Constrained IoT Devices

Abel Zandamela, Alessandro Chiumento, Nicola Marchetti, Max J. Ammann, Adam Narbudowicz

School of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This work proposes compact multimode Multiple-Input-Multiple-Output (MIMO) antennas for Angle of Arrival (AoA) estimation in miniaturized Internet of Things (IoT) systems. The method excites different orthogonal radiating modes (TM21, TM02, and TM31 modes) for beamforming capabilities, and the AoA performance is investigated using the Multiple Signal Classification (MUSIC) algorithm, executed using numerical and experimental data. The technique is tested at 2.238 GHz, while using an antenna diameter < 7.5cm. Overall, an envelope correlation coefficient < 0.01 is realized between all antenna ports, and a 360° field of view AoA estimation is demonstrated across the entire azimuthal plane with mean absolute errors smaller than 0.098°. Furthermore, it is shown that the capability of separating multiple simultaneous impinging signals is comparable to that of state-of-the-art circular arrays with similar number of RF transceivers, while offering, respectively, up to 35% and 71% antenna diameter and height miniaturization.

Original language	English
Article number	5500904
Journal	IEEE Sensors Letters
Volume	7
Issue number	3
DOIs	https://doi.org/10.1109/LSENS.2023.3244870
Publication status	Published - 1 Mar 2023

Keywords

Angle of Arrival (AoA) estimation
Multiple Signal Classification (MUSIC) algorithm
Multiple-Input-Multiple-Output (MIMO) antennas
Sensor systems
beamforming antennas
compact Internet of Things (IoT) systems
localization sensors

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@article{9598bb85b3ac448ca2234ef558b8546b,

title = "Exploiting Multimode Antennas for MIMO and AoA Estimation in Size-Constrained IoT Devices",

abstract = "This work proposes compact multimode Multiple-Input-Multiple-Output (MIMO) antennas for Angle of Arrival (AoA) estimation in miniaturized Internet of Things (IoT) systems. The method excites different orthogonal radiating modes (TM21, TM02, and TM31 modes) for beamforming capabilities, and the AoA performance is investigated using the Multiple Signal Classification (MUSIC) algorithm, executed using numerical and experimental data. The technique is tested at 2.238 GHz, while using an antenna diameter < 7.5cm. Overall, an envelope correlation coefficient < 0.01 is realized between all antenna ports, and a 360° field of view AoA estimation is demonstrated across the entire azimuthal plane with mean absolute errors smaller than 0.098°. Furthermore, it is shown that the capability of separating multiple simultaneous impinging signals is comparable to that of state-of-the-art circular arrays with similar number of RF transceivers, while offering, respectively, up to 35\% and 71\% antenna diameter and height miniaturization.",

keywords = "Angle of Arrival (AoA) estimation, Multiple Signal Classification (MUSIC) algorithm, Multiple-Input-Multiple-Output (MIMO) antennas, Sensor systems, beamforming antennas, compact Internet of Things (IoT) systems, localization sensors",

author = "Abel Zandamela and Alessandro Chiumento and Nicola Marchetti and Ammann, \{Max J.\} and Adam Narbudowicz",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2023",

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doi = "10.1109/LSENS.2023.3244870",

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AU - Zandamela, Abel

AU - Chiumento, Alessandro

AU - Marchetti, Nicola

AU - Ammann, Max J.

AU - Narbudowicz, Adam

PY - 2023/3/1

Y1 - 2023/3/1

N2 - This work proposes compact multimode Multiple-Input-Multiple-Output (MIMO) antennas for Angle of Arrival (AoA) estimation in miniaturized Internet of Things (IoT) systems. The method excites different orthogonal radiating modes (TM21, TM02, and TM31 modes) for beamforming capabilities, and the AoA performance is investigated using the Multiple Signal Classification (MUSIC) algorithm, executed using numerical and experimental data. The technique is tested at 2.238 GHz, while using an antenna diameter < 7.5cm. Overall, an envelope correlation coefficient < 0.01 is realized between all antenna ports, and a 360° field of view AoA estimation is demonstrated across the entire azimuthal plane with mean absolute errors smaller than 0.098°. Furthermore, it is shown that the capability of separating multiple simultaneous impinging signals is comparable to that of state-of-the-art circular arrays with similar number of RF transceivers, while offering, respectively, up to 35% and 71% antenna diameter and height miniaturization.

AB - This work proposes compact multimode Multiple-Input-Multiple-Output (MIMO) antennas for Angle of Arrival (AoA) estimation in miniaturized Internet of Things (IoT) systems. The method excites different orthogonal radiating modes (TM21, TM02, and TM31 modes) for beamforming capabilities, and the AoA performance is investigated using the Multiple Signal Classification (MUSIC) algorithm, executed using numerical and experimental data. The technique is tested at 2.238 GHz, while using an antenna diameter < 7.5cm. Overall, an envelope correlation coefficient < 0.01 is realized between all antenna ports, and a 360° field of view AoA estimation is demonstrated across the entire azimuthal plane with mean absolute errors smaller than 0.098°. Furthermore, it is shown that the capability of separating multiple simultaneous impinging signals is comparable to that of state-of-the-art circular arrays with similar number of RF transceivers, while offering, respectively, up to 35% and 71% antenna diameter and height miniaturization.

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KW - Multiple Signal Classification (MUSIC) algorithm

KW - Multiple-Input-Multiple-Output (MIMO) antennas

KW - Sensor systems

KW - beamforming antennas

KW - compact Internet of Things (IoT) systems

KW - localization sensors

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JF - IEEE Sensors Letters

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ER -

Exploiting Multimode Antennas for MIMO and AoA Estimation in Size-Constrained IoT Devices

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