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Clock Synchronization Over Networks: Identifiability of the Sawtooth Model
Ctr Biomed Imaging, CH-1015 Lausanne, Switzerland.; Ecole Polytech Fed Lausanne, Biomed Imaging Grp, CH-1015 Lausanne, Switzerland..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0003-2267-4834
Ericsson Res, S-16483 Stockholm, Sweden..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-2718-0262
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2020 (English)In: IEEE Open Journal of Signal Processing, E-ISSN 2644-1322, Vol. 1, p. 14-27Article in journal (Refereed) Published
Abstract [en]

In this paper, we analyze the two-node joint clock synchronization and ranging problem. We focus on the case of nodes that employ time-to-digital converters to determine the range between them precisely. This specific design choice leads to a sawtooth model for the captured signal, which has not been studied before from an estimation theoretic standpoint. In the study of this model, we recover the basic conclusion of a well-known article by Freris, Graham, and Kumar in clock synchronization. More importantly, we discover a surprising identifiability result on the sawtooth signal model: noise improves the theoretical condition of the estimation of the phase and offset parameters. To complete our study, we provide performance references for joint clock synchronization and ranging using the sawtooth signal model by presenting an exhaustive simulation study on basic estimation strategies under different realistic conditions. With our contributions in this paper, we enable further research in the estimation of sawtooth signal models and pave the path towards their industrial use for clock synchronization and ranging.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2020. Vol. 1, p. 14-27
Keywords [en]
Clock synchronization, ranging, identifiability, sawtooth model, sensor networks, round-trip time (RTT)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-310097DOI: 10.1109/OJSP.2020.2978762ISI: 000722891600003Scopus ID: 2-s2.0-85094059815OAI: oai:DiVA.org:kth-310097DiVA, id: diva2:1645825
Note

Not duplicate with DiVA 1540492, 1343762.

QC 20220319

Available from: 2022-03-19 Created: 2022-03-19 Last updated: 2024-01-08Bibliographically approved

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Pellaco, LissyHändel, PeterJaldén, Joakim

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