• DocumentCode
    1787627
  • Title

    Localization and array shape estimation using software defined radio array testbed

  • Author

    Akindoyin, Akinbiyi ; Willerton, Marc ; Manikas, Athanassios

  • Author_Institution
    Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    189
  • Lastpage
    192
  • Abstract
    The emergence of software defined radio (SDR) aims to increase flexibility as well as reduce cost, size, weight and power (SWAP) inherent in traditional hardware radios. This paper is concerned with addressing issues associated with the formation of an array system from multiple SDR boards where each has an independent local oscillators (LO) in a multi-antenna system using representative examples such as localization and array shape estimation. In particular, practical experimental results are initially presented for estimating the unknown location of a single source using an SDR array of known array geometry. Furthermore, in the case that the SDR array geometry is unknown, a novel array shape estimation algorithm is proposed. The proposed algorithm estimates the antenna locations without requiring any external sources. This is achieved by allowing the array elements operate as transceivers.
  • Keywords
    antenna arrays; oscillators; radio transceivers; software radio; SDR array geometry; SDR boards; antenna locations; array geometry; array shape estimation; array system; local oscillators; localization; multiantenna system; shape estimation algorithm; software defined radio array testbed; transceivers; Arrays; Conferences; Estimation; Shape; Signal processing; Software; Vectors; Software defined radio; array shape estimation; localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th
  • Conference_Location
    A Coruna
  • Type

    conf

  • DOI
    10.1109/SAM.2014.6882372
  • Filename
    6882372