Noisy localization on the sphere: A preliminary study

Changbin Yu*, Hongyi Chee, Brian D.O. Anderson

*Corresponding author for this work

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

    4 Citations (Scopus)

    Abstract

    The problem of sensor network localization or target localization based on distance measurements has been well studied. In previous work, the problem is considered in the plane or in 3-dimensional space. This work deals with the problem of great distance localization on the surface of the earth when the planar assumption becomes invalid, but there remain the constraint that the points lie in a 2-dimensional manifold. The challenge lies with finding an appropriate technique to cope with noisy measurements when the conventional formulation for a planar model cannot be used. To this end, we adopt a tool recently applied to the planar model, the Cayley-Menger matrix. Simulation results show that the proposed method is effective and robust to noise. Open questions are also identified.

    Original languageEnglish
    Title of host publicationISSNIP 2008 - Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing
    Pages43-48
    Number of pages6
    DOIs
    Publication statusPublished - 2008
    Event2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008 - Sydney, NSW, Australia
    Duration: 15 Dec 200818 Dec 2008

    Publication series

    NameISSNIP 2008 - Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing

    Conference

    Conference2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008
    Country/TerritoryAustralia
    CitySydney, NSW
    Period15/12/0818/12/08

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