Delay Estimation in Dense Multipath Environments using Time Series Segmentation
Kram S, Kraus C, Stahlke M, Feigl T, Thielecke J, Mutschler C (2022)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2022
Pages Range: 1671-1676
Conference Proceedings Title: Proc. Intl. Conf. IEEE Wireless Communications and Networking Conference (WCNC)
Event location: Austin, Texas
DOI: 10.1109/WCNC51071.2022.9771875
Abstract
Channel measurements at sufficiently high bandwidth in multipath-rich environments include a variety of delay information, which, if accurately extracted, can be exploited for accurate positioning. While previous methods are limited in practice as they rely on iteratively extracting a fixed number of delays, we instead formulate the delay extraction problem as a time series segmentation task. For this, we propose a pipeline built upon the U-Net convolutional neural network architecture. Unlike the state of the art our pipeline extracts an arbitrary number of delays without prior knowledge, includes a threshold for weighting between detection rate and false alarms, and does not rely on computationally demanding operations such as eigenvalue decomposition. We evaluate the presented method with synthetic data of different noise configurations and signal bandwidths and a publicly available dataset, achieving considerable performance gains w.r.t. detection performance and tracking accuracy. Furthermore, we show that the proposed method is far less computationally demanding in inference.
Authors with CRIS profile
Sebastian Kram
Maximilian Stahlke Machine Learning and Data Analytics Lab Tobias Feigl Lehrstuhl für Informatik 2 (Programmiersysteme) Jörn Thielecke Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation) Christopher Mutschler Lehrstuhl für Informatik 2 (Programmiersysteme)
Maximilian Stahlke Machine Learning and Data Analytics Lab Tobias Feigl Lehrstuhl für Informatik 2 (Programmiersysteme) Jörn Thielecke Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation) Christopher Mutschler Lehrstuhl für Informatik 2 (Programmiersysteme)
Involved external institutions
Germany (DE)How to cite
APA:
Kram, S., Kraus, C., Stahlke, M., Feigl, T., Thielecke, J., & Mutschler, C. (2022). Delay Estimation in Dense Multipath Environments using Time Series Segmentation. In Proc. Intl. Conf. IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1671-1676). Austin, Texas, US.
MLA:
Kram, Sebastian, et al. "Delay Estimation in Dense Multipath Environments using Time Series Segmentation." Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), Austin, Texas 2022. 1671-1676.
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