A MLE based algorithm for registration in sensor networks

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

Abstract

Sensor bias may severely affect the use of measurements acquired in sensor networks. A registration algorithm based on maximum likelihood estimate (MLE) for estimating the bias is presented in this paper. Firstly, the impact of residual bias on target state estimate was analyzed. Then the likelihood function with respect to residual sensor bias was derived, and an iterated algorithm was presented to obtain MLEs of bias. The presented algorithm is a batch algorithm. Simulations are performed to demonstrate the effectiveness of the presented algorithms.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages928-932
Number of pages5
ISBN (Electronic)9781538662434
DOIs
StatePublished - Mar 2019
Event3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019 - Chengdu, China
Duration: 15 Mar 201917 Mar 2019

Publication series

NameProceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019

Conference

Conference3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
Country/TerritoryChina
CityChengdu
Period15/03/1917/03/19

Keywords

  • Iterated algorithm
  • Maximum likelihood
  • Registration
  • Sensor networks
  • Taylor expansion

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