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
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