Joint localization and clock offset estimation via time-of-arrival with ranging offset

Ido Nevat, François Septier, Karin Avnit, Gareth W. Peters, Laurent Clavier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We develop a novel algorithm for Geo-Spatial location estimation for Internet of Things (IoT) networks by utilizing a One-Way Time-of-Arrival (OW-TOA) technology. Although very popular, OW-TOA based localization techniques are negatively affected by three phenomena: i) wireless connectivity between the target and the receiving nodes is not guaranteed (audibility), resulting in likelihood surface which may produce a non-unique maxima; ii) clock offset imperfection which is a result of a fixed deviation from a reference clock; and iii) a ranging offset which introduces distance dependent bias to the OW-TOA measurements. We develop a new statistical framework which incorporates these aspects and then derive the joint localization and clock offset Maximum Likelihood Estimator to jointly estimate the location of the target and the clock offset. To solve the resulting non-convex optimization problem we propose to use the Cross-Entropy method.

Original languageEnglish
Title of host publication2018 26th European Signal Processing Conference (EUSIPCO)
PublisherIEEE
Pages672-676
Number of pages5
ISBN (Electronic)9789082797015
DOIs
Publication statusPublished - 3 Dec 2018
Event26th European Signal Processing Conference 2018 - Rome, Italy
Duration: 3 Sep 20187 Sep 2018

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference26th European Signal Processing Conference 2018
Abbreviated titleEUSIPCO 2018
CountryItaly
CityRome
Period3/09/187/09/18

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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