Title
Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks
Author
Kazaz, T. (TU Delft Signal Processing Systems) 
Coutino, Mario (TU Delft Signal Processing Systems)
Janssen, G.J.M. (TU Delft Signal Processing Systems)
Leus, G.J.T. (TU Delft Signal Processing Systems)
van der Veen, A.J. (TU Delft Signal Processing Systems)
Contributor
Matthews, Michael B. (editor)
Date
2019
Abstract
Synchronization and ranging in internet of things (IoT) networks are challenging due to the narrowband nature of signals used for communication between IoT nodes. Recently, several estimators for range estimation using phase difference of arrival (PDoA) measurements of narrowband signals have been proposed. However, these estimators are based on data models which do not consider the impact of clock-skew on the range estimation. In this paper, clock-skew and range estimation are studied under a unified framework. We derive a novel and precise data model for PDoA measurements which incorporates the unknown clock-skew effects. We then formulate joint estimation of the clock-skew and range as a two-dimensional (2-D) frequency estimation problem of a single complex sinusoid. Furthermore, we propose: (i) a two-way communication protocol for collecting PDoA measurements and (ii) a weighted least squares (WLS) algorithm for joint estimation of clock-skew and range leveraging the shift invariance property of the measurement data. Finally, through numerical experiments, the performance of the proposed protocol and estimator is compared against the Cramér Rao lower bound demonstrating that the proposed estimator is asymptotically efficient.
Subject
clock synchronization
internet of things
joint estimation
localization
range
time-slotted channel hopping
To reference this document use:
http://resolver.tudelft.nl/uuid:054edc63-d998-40eb-b547-a83214b9ea73
DOI
https://doi.org/10.1109/ACSSC.2018.8645210
Publisher
IEEE, Piscataway, NJ
Embargo date
2019-08-21
ISBN
978-1-5386-9219-6
Source
Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Event
52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018, 2018-10-28 → 2018-10-31, Pacific Grove, United States
Series
Conference Record - Asilomar Conference on Signals, Systems and Computers, 1058-6393, 2018-October
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2019 T. Kazaz, Mario Coutino, G.J.M. Janssen, G.J.T. Leus, A.J. van der Veen