DocumentCode
2739640
Title
New beamforming method based on radial- basis function neural network processing in SαSG distribution noise environments
Author
Daifeng Zha
Author_Institution
Jiujiang Univ., Jiujiang
fYear
2007
fDate
11-13 July 2007
Firstpage
107
Lastpage
110
Abstract
This paper considers the beamforming problem with radial-basis function network in alpha stable noise environment. In the new noise environment, a novel training method is proposed based on covariation. Comparing the output of the network with the analytical solution, it is found that they are very consistent. Then, it is reasonable to perform beamforming by using radial-basis function network.
Keywords
Gaussian distribution; array signal processing; cochannel interference; learning (artificial intelligence); mobile radio; noise; radial basis function networks; telecommunication computing; Gaussian distribution; SalphaSG distribution noise environments; alpha stable noise environment; beamforming method; co-channel interference; mobile communication systems; radial-basis function neural network processing; training method; Noise; Noise measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
Conference_Location
Kokura
Print_ISBN
978-1-4244-1473-4
Type
conf
DOI
10.1109/ICCCAS.2007.6250060
Filename
6250060
Link To Document