A grouping protocol for improving localization bias-correction

Yu Zhang, Yiming Ji, Peng Wang

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

    Abstract

    In the previous work we proposed a method to correct the bias in localization algorithms in n dimensional space with an arbitrary number of sensors at known locations. The key mathematical tools used in the bias-correction method are Taylor series and Jacobian matrices. In this paper an enhancement protocol based on a grouping idea is proposed. The proposed protocol can be used when extra sensors are introduced in order to improve the localization accuracy while avoid significantly increasing the computational cost. Monte Carlo simulation results demonstrate the performance of the proposed grouping protocol.

    Original languageEnglish
    Title of host publication2012 2nd Australian Control Conference, AUCC 2012
    PublisherIEEE Computer Society
    Pages330-336
    Number of pages7
    ISBN (Print)9781922107633
    Publication statusPublished - 2012
    Event2nd Australian Control Conference, AUCC 2012 - Sydney, NSW, Australia
    Duration: 15 Nov 201216 Nov 2012

    Publication series

    Name2012 2nd Australian Control Conference, AUCC 2012

    Conference

    Conference2nd Australian Control Conference, AUCC 2012
    Country/TerritoryAustralia
    CitySydney, NSW
    Period15/11/1216/11/12

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