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Clock synchronization over networks using sawtooth models
Biomedical Imaging Group, Epfl, Lausanne, Switzerland.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering. Ericsson Res, Stockholm, Sweden..ORCID iD: 0000-0003-2267-4834
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering. Ericsson Research, Stockholm, Sweden.ORCID iD: 0000-0001-7450-8681
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: 2020 IEEE international conference on acoustics, speech, and signal processing, Institute of Electrical and Electronics Engineers (IEEE) , 2020, p. 5945-5949Conference paper, Published paper (Refereed)
Abstract [en]

Clock synchronization and ranging over a wireless network with low communication overhead is a challenging goal with tremendous impact. In this paper, we study the use of time-to-digital converters in wireless sensors, which provides clock synchronization and ranging at negligible communication overhead through a sawtooth signal model for round trip times between two nodes. In particular, we derive Cramer-Rao lower bounds for a linearitzation of the sawtooth signal model, and we thoroughly evaluate simple estimation techniques by simulation, giving clear and concise performance references for this technology.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2020. p. 5945-5949
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keywords [en]
Clock synchronization, ranging, wireless sensor networks (WSN), round-trip time
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-292077DOI: 10.1109/ICASSP40776.2020.9054426ISI: 000615970406041Scopus ID: 2-s2.0-85089219684OAI: oai:DiVA.org:kth-292077DiVA, id: diva2:1540492
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing, MAY 04-08, 2020, Barcelona, SPAIN
Note

Part of proceedings: ISBN 9781509066315

QC 20210329. QC 20220319

Available from: 2021-03-29 Created: 2021-03-29 Last updated: 2022-06-25Bibliographically approved

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Pellaco, LissyDwivedi, SatyamHändel, PeterJaldén, Joakim

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Citation style
  • apa
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