Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Dissertations (MU)
    • 2010 Dissertations (MU)
    • 2010 MU dissertations - Freely available online
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Dissertations (MU)
    • 2010 Dissertations (MU)
    • 2010 MU dissertations - Freely available online
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    On the use of multiple emitters to improve the TDOA source localization accuracy in the presence of random sensor position errors

    Yang, Le, 1979-
    View/Open
    [PDF] public.pdf (2.105Kb)
    [PDF] research.pdf (1.415Mb)
    [PDF] short.pdf (33.17Kb)
    Date
    2010
    Format
    Thesis
    Metadata
    [+] Show full item record
    Abstract
    It is known that random sensor position errors can significantly degrade the TDOA source localization accuracy. In this thesis, we conduct a systematic study on using the calibration emitters to mitigate the effect of random sensor position errors. Four localization scenarios are considered. They are (i) locating a single source with a calibration emitter at accurate location; (ii) locating a single source with calibration emitters at inaccurate locations; (iii) locating multiple disjoint sources in the presence of random sensor position errors; and (iv) tracking a single moving source while simultaneously calibrating sensor positions. Note that scenario (iii) includes the problem of locating a source with calibration emitters at completely unknown locations as a special case. Moreover, scenario (iv) can be viewed as the extension of scenario (iii) in the sense that the unknown source positions are now generated by a moving source. For each localization scenario, we investigate the amount of performance improvement in terms of TDOA source localization accuracy brought by the use of the calibration emitters via deriving the corresponding CRLB of the source positions. More importantly, we propose novel source localization algorithms that can explore the TDOA measurements from the calibration emitters to reduce the effect of random sensor position errors. Theoretical performance analysis is conducted to show that the proposed localization algorithms are all able to reach the CRLB accuracy under mild conditions. Extensive simulation results are provided to corroborate the theoretical developments.
    URI
    https://hdl.handle.net/10355/41901
    https://doi.org/10.32469/10355/41901
    Degree
    Ph. D.
    Thesis Department
    Electrical and computer engineering (MU)
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
    Collections
    • 2010 MU dissertations - Freely available online
    • Electrical Engineering and Computer Science electronic theses and dissertations (MU)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems