Localization bias correction in n-dimensional space

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

*Corresponding author for this work

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

    6 Citations (Scopus)

    Abstract

    In previous work we proposed a method to determine the bias in localization algorithms using 2 or 3 sensors, whose location have been already identified, for targets in 2-dimensional space by mixing Taylor series and Jacobian matrices. In this paper we extend the bias-correction method to n-dimensional space with N sensors. To illustrate this approach, we analyze the proposed method in three situations using localization algorithms. Monte Carlo simulation results demonstrate the proposed bias-correction method can correct the bias very well in most situations.

    Original languageEnglish
    Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2854-2857
    Number of pages4
    ISBN (Print)9781424442966
    DOIs
    Publication statusPublished - 2010
    Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
    Duration: 14 Mar 201019 Mar 2010

    Publication series

    NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    ISSN (Print)1520-6149

    Conference

    Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
    Country/TerritoryUnited States
    CityDallas, TX
    Period14/03/1019/03/10

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