• DocumentCode
    2118871
  • Title

    An Amplitude-Only Direct Data Domain Least Square Algorithm of Wideband Signals Based on the Uniform Circular Array

  • Author

    Ren, Yan-Fei ; He, Hai-Dan ; Zhang, Yun ; Zhang, Kuo

  • Author_Institution
    Southwest Inst. of Electron. Technol., Chengdu, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Many digital beamforming algorithms result in a set of complex weights including amplitudes and phases. The use of complex weights offers greater control over the array response at the expense of system complexity. And these approaches typically assume a wide sense stationary environment and utilize auxiliary training data to estimate the statistics of the interference. However, for a dynamic environment the present method may be more suitable as one process the information based on a single snapshot. Hence, this paper presents an amplitude-only adaptive technique to extract the signal of interest (SOI) arriving from a known direction in the presence of strong interferers - the direct data domain least squares (D3LS) algorithm, which utilizes only a single snapshot of the data for adaptive processing of wideband signals.
  • Keywords
    adaptive signal processing; array signal processing; least squares approximations; statistical analysis; adaptive wideband signal processing; amplitude-only adaptive technique; amplitude-only direct data domain least square algorithm; array response; complex weights; digital beamforming algorithms; interference statistics; signal-of-interest extraction; system complexity; uniform circular array; Array signal processing; Control systems; Data mining; Interference; Least squares methods; Signal processing; Statistics; Training data; Weight control; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302753
  • Filename
    5302753