• DocumentCode
    3126170
  • Title

    On Multilinear-Based Approaches of Blind Receiver for Polarization Sensitive Uniform Square Array

  • Author

    Gao, Xin ; Zhang, Xiaofei ; Sun, Zhongwei ; Chen, Weiyang ; Shi, Ying

  • Author_Institution
    Dept. of Electron. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    338
  • Lastpage
    342
  • Abstract
    This paper presents the investigations for triple-polarization sensitive uniform square array (USA) on the basic modeling of blind trilinear/quadri-linear receivers. We derive the multilinear-based approaches which utilize no knowledge for direction of arrival (DOA) or polarization information. The quadri-linear-based approach has better bit-error-rate (BER) performance than the trilinear-based one. The newly designed blind quadrilinear receiver indicates quite close performance to nonblind MMSE method, supports small number of snapshots, and also exhibits blind robust characteristics. Simulation results illustrate their collaborations with our theoretical analysis.
  • Keywords
    blind equalisers; direction-of-arrival estimation; error statistics; least mean squares methods; radio receivers; BER performance; MMSE; bit-error-rate; blind quadri-linear receiver; blind trilinear receivers; direction of arrival; least mean square method; polarization sensitive uniform square array; Antenna arrays; Dipole antennas; Electromagnetic wave polarization; Information systems; Robustness; Sensor arrays; Signal processing algorithms; USA Councils; Voltage; Wireless networks; Triple-polarization; blind receiver; trilinear/quadrilinear decomposition; uniform square array (USA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3901-0
  • Electronic_ISBN
    978-1-4244-5400-6
  • Type

    conf

  • DOI
    10.1109/WNIS.2009.23
  • Filename
    5381962