Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Computationally Efficient Radio Frequency Source Localization for Radio Interferometric Arrays

    Access Status
    Fulltext not available
    Authors
    Steeb, J.
    Davidson, David
    Wijnholds, S.
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Steeb, J. and Davidson, D. and Wijnholds, S. 2018. Computationally Efficient Radio Frequency Source Localization for Radio Interferometric Arrays. Radio Science. 53 (3): pp. 242-256.
    Source Title
    Radio Science
    DOI
    10.1002/2017RS006513
    ISSN
    0048-6604
    School
    Curtin Institute of Radio Astronomy (Engineering)
    URI
    http://hdl.handle.net/20.500.11937/72266
    Collection
    • Curtin Research Publications
    Abstract

    ©2018. American Geophysical Union. All Rights Reserved. Radio frequency interference (RFI) is an ever-increasing problem for remote sensing and radio astronomy, with radio telescope arrays especially vulnerable to RFI. Localizing the RFI source is the first step to dealing with the culprit system. In this paper, a new localization algorithm for interferometric arrays with low array beam sidelobes is presented. The algorithm has been adapted to work both in the near field and far field (only the direction of arrival can be recovered when the source is in the far field). In the near field the computational complexity of the algorithm is linear with search grid size compared to cubic scaling of the state-of-the-art 3-D MUltiple SIgnal Classification (MUSIC) method. The new method is as accurate as 3-D MUSIC. The trade-off is that the proposed algorithm requires a once-off a priori calculation and storing of weighting matrices. The accuracy of the algorithm is validated using data generated by low-frequency array while a hexacopter was flying around it and broadcasting a continuous-wave signal. For the flight, the mean distance between the differential GPS positions and the corresponding estimated positions of the hexacopter is 2 m at a wavelength of 6.7 m.

    Related items

    Showing items related by title, author, creator and subject.

    • Adaptive antenna array beamforming using a concatenation of recursive least square and least mean square algorithms
      Srar, Jalal Abdulsayed (2011)
      In recent years, adaptive or smart antennas have become a key component for various wireless applications, such as radar, sonar and cellular mobile communications including worldwide interoperability for microwave ...
    • Computationally Efficient Near-field Radio Frequency Source Localisation
      Steeb, Jan-Willem W; Davidson, David ; Wijnholds, Stefan J (2017)
      Radio frequency interference (RFI) is an ever-increasing problem for remote sensing and radio astronomy, with radio telescope arrays especially vulnerable to RFI. Localising the RFI source is the first step to dealing ...
    • An automated archival Very Large Array transients survey
      Bell, M.; Fender, R.; Swinbank, J.; Miller-Jones, James; Law, C.; Scheers, B.; Spreeuw, H.; Wise, M.; Stappers, B.; Wijers, R.; Hessels, J.; Masters, J. (2011)
      In this paper we present the results of a survey for radio transients using data obtained from the Very Large Array archive. We have reduced, using a pipeline procedure, 5037 observations of the most common pointings - ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.