Joint sequential target state estimation and clock synchronization in wireless sensor networks

Jichuan Li, Arye Nehorai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Clock synchronization is crucial to a wireless sensor network but often difficult to maintain. In this paper, we propose a joint estimation method to estimate both target states and clock synchronization status based on sensor observations from an unsynchronized wireless sensor network. We build a multi-sensor state-space model to connect clock synchronization status with sequential state transition. We use the expectation-maximization algorithm, together with Monte Carlo approximations, for joint estimation. Numerical examples show that the proposed method converges to the true synchronization status and improves the accuracy of sequential state estimation by considering the synchronization status.

Original languageEnglish
Title of host publicationConference Record of the 48th Asilomar Conference on Signals, Systems and Computers
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages525-529
Number of pages5
ISBN (Electronic)9781479982974
DOIs
StatePublished - Apr 24 2015
Event48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 2 2014Nov 5 2014

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2015-April
ISSN (Print)1058-6393

Conference

Conference48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/TerritoryUnited States
CityPacific Grove
Period11/2/1411/5/14

Keywords

  • EM algorithm
  • Monte Carlo approximation
  • Wireless sensor network
  • clock synchronization
  • joint state and parameter estimation
  • sequential state estimation

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