Optimality analysis of sensor-target geometries in passive localization: Part 1 - Bearing-only localization

Adrian N. Bishop, Bariş Fidan, Brian D.O. Anderson, Kutluyil Doǧançay, Pubudu N. Pathirana

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

    75 Citations (Scopus)

    Abstract

    In this paper we characterize the relative sensor-target geometry for bearing-only localization in ℝ2. We analyze the geometry in terms of the Cramer-Rao inequality and the corresponding Fisher information matrix, aiming to characterize and state explicit results in terms of the potential localization performance. In particular, a number of interesting results are rigorously derived which highlight erroneous assumptions often made in the existing literature.

    Original languageEnglish
    Title of host publicationProceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP
    Pages7-12
    Number of pages6
    DOIs
    Publication statusPublished - 2007
    Event2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP - Melbourne, VIC, Australia
    Duration: 3 Dec 20076 Dec 2007

    Publication series

    NameProceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP

    Conference

    Conference2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP
    Country/TerritoryAustralia
    CityMelbourne, VIC
    Period3/12/076/12/07

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