Bias-Correction In Localization Algorithms

Yiming Ji*, Changbin Yu, Brian D.O. Anderson

*Corresponding author for this work

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

    11 Citations (Scopus)

    Abstract

    In this paper we introduce a new approach to determine the bias in localization algorithms by mixing Taylor series and Jacobian matrices, which results in an easily calculated analytical expression for the bias. To illustrate this approach, we analyze the proposed method in two situations using localization algorithms based on distance measurements. Monte Carlo simulations verify that the proposed method is consistent with the performance of localization algorithms, which means the bias-correction method can correct the bias in most situations except when there is a collinearity problem. Although the method is analyzed in distance-based localization algorithms, it can be extended to other kinds of localization algorithms.

    Original languageEnglish
    Title of host publicationGLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages7
    ISBN (Print)978-1-4244-4148-8
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE Global Telecommunications Conference, GLOBECOM 2009 - Honolulu, HI, United States
    Duration: 30 Nov 20094 Dec 2009

    Publication series

    Name
    ISSN (Print)1930-529X

    Conference

    Conference2009 IEEE Global Telecommunications Conference, GLOBECOM 2009
    Country/TerritoryUnited States
    CityHonolulu, HI
    Period30/11/094/12/09

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