• DocumentCode
    153931
  • Title

    Environment-Adaptable Efficient Optimization for Programming of Reconfigurable Radio Frequency (RF) Receivers

  • Author

    Minhee Jun ; Negi, Richa ; Jun Tao ; Ying-Chih Wang ; Shihui Yin ; Mukherjee, Tridib ; Xin Li ; Pileggi, Larry

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2014
  • fDate
    6-8 Oct. 2014
  • Firstpage
    1459
  • Lastpage
    1465
  • Abstract
    Software defined radio has been developed for supporting multi-standard radio receivers, but remains vulnerable to interference. In order to overcome this interference challenge, this paper proposes replacing the fixed wide-band Radio Frequency (RF) front-end in software radio receivers with a reconfigurable RF front-end. We show that a software radio with an optimally chosen reconfigurable RF front-end outperforms fixed RF software radios, when the latter suffers from inter-modulation of blockers caused by non-linearity of its RF front-end. Moreover, we propose a fast optimization algorithm for selecting an optimal configuration of the reconfigurable RF front-end in radio environments with interference. This algorithm selects from among the available configurations of the RF front-end, and improves SINR by adapting to the blockers present, while requiring only a small number of trials to select the appropriate configuration. Thus, a reconfigurable RF front-end, when used in conjunction with a software radio, can effectively realize the development of multi-standard wireless communication systems.
  • Keywords
    optimisation; radio receivers; radiofrequency interference; software radio; SINR; environment-adaptable efficient optimization; multistandard wireless communication systems; optimal configuration; reconfigurable RF frontend; reconfigurable radiofrequency receivers; signal-to-interference-plus-noise ratio; software radio receivers; Interference; Mixers; Optimization; Radio frequency; Real-time systems; Receivers; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference (MILCOM), 2014 IEEE
  • Conference_Location
    Baltimore, MD
  • Type

    conf

  • DOI
    10.1109/MILCOM.2014.241
  • Filename
    6956962