• DocumentCode
    3513201
  • Title

    Digital beamforming using a GPU

  • Author

    Nilsen, Carl-Inge Colombo ; Hafizovic, Ines

  • Author_Institution
    Dept. of Inf., Univ. of Oslo, Oslo
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    609
  • Lastpage
    612
  • Abstract
    In this paper we investigate the use of GPUs as digital beamformers. We specify a parallel implementation of a beamformer in time and frequency domain and measure its performance. We also give examples of the processing limits of NVIDIA Geforce 8800 GPU with respect to application parameters: number of sensors, sampling frequency, bandwidth, and number of simultaneous beams. The results are compared to those of algorithms similarly implemented on a Intel Xeon CPU. We find that the GPU is able to process a larger amount of information than the CPU, and that it can be used as a digital beamformer for arrays with a large number of elements sampled at high rates. Exact results are given for the abovementioned application parameters.
  • Keywords
    array signal processing; computer graphics; frequency-domain analysis; time-domain analysis; Intel Xeon CPU; NVIDIA Geforce 8800 GPU; digital beamforming; sampling frequency; time-frequency domain; Array signal processing; Central Processing Unit; Delay effects; Frequency synchronization; Informatics; Parallel algorithms; Parallel processing; Sensor arrays; Signal processing algorithms; Yarn; Array signal processing; parallel processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959657
  • Filename
    4959657