Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks
Kirmaz A, Şahin T, Michalopoulos DS, Ashraf MI, Gerstacker W (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2023-March
Conference Proceedings Title: IEEE Wireless Communications and Networking Conference, WCNC
Event location: Glasgow, GBR
ISBN: 9781665491228
DOI: 10.1109/WCNC55385.2023.10118967
Abstract
Wireless high-accuracy positioning has recently attracted growing research interest due to diversified nature of applications such as industrial asset tracking, autonomous driving, process automation, and many more. However, obtaining a highly accurate location information is hampered by challenges due to the radio environment. A major source of error for time-based positioning methods is inaccurate time-of-arrival (ToA) or range estimation. Machine leaning (ML) techniques emerged as potential solutions to mitigate ToA-related errors. However, existing ML-based solutions either employ a set of features representing channel measurements only to a limited extent, or account for only device-specific proprietary methods of ToA estimation. In this paper, we propose a convolutional neural network (CNN) to estimate and mitigate the errors of a variety of ToA estimation methods utilizing channel impulse responses (CIRs). Based on real-world measurements from two independent campaigns, the proposed method yields significant improvements in ranging accuracy (up to 37%) of conventional ToA estimators, often eliminating the need of optimizing the underlying conventional methods.
Authors with CRIS profile
Anil Kirmaz
Lehrstuhl für Digitale Übertragung
Wolfgang Gerstacker
Lehrstuhl für Digitale Übertragung
Involved external institutions
Germany (DE)How to cite
APA:
Kirmaz, A., Şahin, T., Michalopoulos, D.S., Ashraf, M.I., & Gerstacker, W. (2023). Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks. In IEEE Wireless Communications and Networking Conference, WCNC. Glasgow, GBR: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kirmaz, Anil, et al. "Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks." Proceedings of the 2023 IEEE Wireless Communications and Networking Conference, WCNC 2023, Glasgow, GBR Institute of Electrical and Electronics Engineers Inc., 2023.
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