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

    Performance of an LLMS Beamformer in the Presence of Element Gain and Spacing Variations

    Access Status
    Fulltext not available
    Authors
    Srar, Jalal
    Chung, Kah-Seng
    Mansour, Ali
    Date
    2011
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Srar, Jalal Abdulsayed and Chung, Kah-Seng and Mansour, Ali. 2011. Performance of an LLMS Beamformer in the Presence of Element Gain and Spacing Variations, in 17th Asia-Pacific Conference on Communications (APCC), Oct 2-5 2011. Kota Kinabalu, Malaysia: IEEE.
    Source Title
    Proceedings of 2011 17th Asia-Pacific Conference on Communications (APCC 2011)
    Source Conference
    The 17th Asia-Pacific Conference on Communications (APCC 2011)
    DOI
    10.1109/APCC.2011.6152877
    ISBN
    978-1-4577-0388-1
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/15044
    Collection
    • Curtin Research Publications
    Abstract

    This paper studies the influence of tolerances in inter-element spacing and element gain on the operation of the LLMS adaptive beamforming algorithm. Both random and worst case scenarios of inter-element spacing and element gain variations have been considered. Computer simulations show that these practical tolerances have greater influence on the beam pattern than the error vector magnitude (EVM). Simulated results also confirm the superior performance of the LLMS algorithm over the recursive least square (RLS) and the constrained stability LMS (CSLMS) algorithms when operating in the presence of multiple sources of co-channel interference.

    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 ...
    • Generative AI Glitches: The Artificial Everything
      Srdarov, Suzanne ; Leaver, Tama (2024)
      Artificial Intelligence (AI) has existed in popular culture far longer than any particular technological tools that carry that name today (Leaver), and in part, for that reason, fantasies of AI being or becoming sentient ...
    • Adaptive Array Beamforming Using a Combined LMS-LMS Algorithm
      Srar, Jalal; Chung, Kah-Seng; Mansour, Ali (2010)
      A new adaptive algorithm, called least mean square- least mean square (LLMS) algorithm, which employs an array image factor, , sandwiched in between two least mean square (LMS) algorithm sections, is proposed for different ...
    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.