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    Low SWaP-C Radar for Urban Air Mobility

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    lies2020lowSwapc.pdf (4.638Mb)
    Date
    2020
    Author
    Lies, William A.
    Narula, Lakshay
    Iannucci, Peter A.
    Humphreys, Todd E.
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    Abstract
    A method is developed and tested for extending the range of low-cost radar chipsets for use in urban air mobility (UAM) vehicles. The method employs weak-signal correlation techniques and long measurement intervals to achieve a 1 km range. Low-cost radar is an enabling technology for vertical take-off and landing (VTOL) aircraft envisioned for large-scale deployment in urban areas. These aircraft must be autonomously piloted to make them economically feasible, but autonomous systems have yet to match a human pilot’s ability to detect and avoid (DAA) obstacles. Visible light cameras are useful for this application, but cameras alone are insufficient, as they are fundamentally unable to resolve range. Existing commercial radar units would suffice for DAA, but their large size weight, power, and cost (SWaP-C) militates against their application to UAM. The technique detailed in this paper is a fused camera-radar solution that exploits the camera’s excellent angular resolution to guide radar signal processing so that signals arriving from a camera-detected target are combined constructively. Such guided processing significantly extends the range of low SWaP-C radar chipsets, making them useful for DAA. An analysis of the fused technique’s robustness to target velocity uncertainty is presented, along with experimental results indicating that a typically-sized VTOL aircraft would be detectable at a range of 1 km.
    Department
    Aerospace Engineering and Engineering Mechanics
    Subject
    UAM
    UAL
    DAA
    URI
    https://hdl.handle.net/2152/82445
    http://dx.doi.org/10.26153/tsw/9450
    Citation
    William A. Lies, Lakshay Narula, Peter A. Iannucci, and Todd E. Humphreys, "Low SWaP-C Radar for Urban Air Mobility," In 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), pp. 74-80. IEEE, 2020.
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    University of Texas at Austin Libraries
    • facebook
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    • youtube
    • CONTACT US
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    • JOB OPPORTUNITIES
    • UT Austin Home
    • Emergency Information
    • Site Policies
    • Web Accessibility Policy
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    • Adobe Reader
    Subscribe to our NewsletterGive to the Libraries

    © The University of Texas at Austin