Bat-inspired ultrasound tomography in air

Alessio Balleri*, Hugh D. Griffiths, Karl Woodbridge, Chris J. Baker, Marc W. Holderied

*Corresponding author for this work

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

    8 Citations (Scopus)

    Abstract

    Classification of targets is of great interest to the radar and sonar community. The development of modern systems has resulted in a drive to improve automatic target recognition in order to be able to identify targets under all weather and clutter conditions. Echolocating mammals, such as bats, have an imperative to identify the targets they depend on for their survival and have evolved an excellent ability to detect, select, and attack prey even in the most challenging environments. They acquire multi perspective information as to construct an image of the target in the way a typical tomographic image is developed. In this paper ultrasound high range resolution profiles of a real scaled target are processed to exploit tomographic images at ultrasound frequencies in air. Results are discussed and related to the radar case.

    Original languageEnglish
    Title of host publication2010 IEEE Radar Conference
    Subtitle of host publicationGlobal Innovation in Radar, RADAR 2010 - Proceedings
    Pages44-47
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    EventIEEE International Radar Conference 2010, RADAR 2010 - Washington DC, United States
    Duration: 10 May 201014 May 2010

    Publication series

    NameIEEE National Radar Conference - Proceedings
    ISSN (Print)1097-5659

    Conference

    ConferenceIEEE International Radar Conference 2010, RADAR 2010
    Country/TerritoryUnited States
    CityWashington DC
    Period10/05/1014/05/10

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