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Title:Experimental evaluation of enhanced antenna switching for CFO mitigation in DoA estimation
Authors:ID Simončič, Aleš, Institut "Jožef Stefan" (Author)
ID Guan, Ke, Institut "Jožef Stefan" (Author)
ID Morano, Grega, Institut "Jožef Stefan" (Author)
ID Švigelj, Aleš, Institut "Jožef Stefan" (Author)
ID Hrovat, Andrej, Institut "Jožef Stefan" (Author)
ID Kocevska, Teodora, Institut "Jožef Stefan" (Author)
ID Javornik, Tomaž, Institut "Jožef Stefan" (Author)
Files:URL URL - Source URL, visit https://ieeexplore.ieee.org/document/10955341
 
.pdf PDF - Presentation file, download (8,92 MB)
MD5: D4B8C4E86210C3B086F5BB48111A957D
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Abstract:Direction-of-arrival (DoA) estimation in the Internet of Things (IoT) and embedded devices is typically performed using single-RF chain systems and antenna switching using time-division multiplexing. The accuracy of the DoA estimation is reduced due to the additional phase shifts between the samples on the antenna elements caused by the carrier frequency offset (CFO). We propose to use optimized antenna switching patterns (ASPs) to mitigate the effect of CFO on accuracy in DoA estimation using a multiple signal classification (MUSIC) algorithm. We evaluated two switching methods referred to as EvenCFO-SP and Mirror-SP with simulations and confirmed the validity with measurements. Performance is analyzed and compared with a standard sequential sampling (SS) method. Uniform linear and circular array configurations are considered to evaluate the impact of the noise and the CFO value on estimation accuracy. The results show that the optimized ASPs outperform the SS method, with lower performance gain at small signal-to-noise ratios. The ASP sensitivity to the CFO value is studied, and the frequency bounds within which the optimized ASPs maintain high estimation accuracy are identified. A coarse CFO correction, effective for frequency estimation errors within the kHz range, extends the frequency bounds. Compared to a fine calibration, this reduces computational requirements, making it a viable option for embedded and IoT devices with limited hardware resources.
Keywords:antenna switching pattern, carrier frequency offset, direction of arrival, MUSIC algorithm, noise, single RF-chain, switched array, uniform circular array, uniform linear array
Publication status:Published
Publication version:Version of Record
Submitted for review:03.03.2025
Article acceptance date:04.04.2025
Publication date:07.04.2025
Publisher:IEEE
Year of publishing:2025
Number of pages:str. 1022-1036
Numbering:Vol. 6, iss. 4
Source:ZDA
PID:20.500.12556/DiRROS-25430 New window
UDC:621.39
ISSN on article:2637-6431
DOI:10.1109/OJAP.2025.3558671 New window
COBISS.SI-ID:232797187 New window
Copyright:© 2025 The Authors.
Note:Nasl. z nasl. zaslona; Soavtorji iz Slovenije: Grega Morano, Aleš Švigelj, Andrej Hrovat, Teodora Kocevska, Tomaž Javornik; Opis vira z dne 15. 4. 2025;
Publication date in DiRROS:20.01.2026
Views:178
Downloads:108
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Record is a part of a journal

Title:IEEE Open Journal of Antennas and Propagation
Shortened title:IEEE Open J. Antennas Propag.
Publisher:Institute of Electrical and Electronics Engineers
ISSN:2637-6431
COBISS.SI-ID:56328451 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J2-4461-2022
Name:Teraherčni radijski valovi za zaznavanje in lokalizacijo v prihodnjih 6G komunikacijskih sistemih

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J2-3048-2021
Name:Napredno modeliranje radijskih kanalov z žarkovno-optičnimi in numeričnimi brezmrežnimi metodami

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0016-2019
Name:Komunikacijska omrežja in storitve

Funder:ARIS - Slovenian Research and Innovation Agency
Funding programme:Young Researcher program
Project number:PR-12348

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:07.04.2025
Applies to:VoR

Secondary language

Language:Slovenian
Keywords:ocena kota, hrup, algoritem MUSIC


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