DocumentCode :
2356549
Title :
Novel beamspace neural network approach to mobile unit localization
Author :
Dai, Tser-Ya ; Lee, Ta-Sung ; Hwang, Chung-Rong
Author_Institution :
Inst. of Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
1994
fDate :
5-8 Dec 1994
Firstpage :
18
Lastpage :
23
Abstract :
A novel beamspace radial basis function neural network for the estimation of the angle-of-arrival (AOA) of a mobile unit in cellular communications is proposed. By training the network with the data emitted from different sub-cells in the field of interest, and then collected by a set of antenna array beamformers optimum weights which lead to the best approximation of the desired response in least-square sense can be obtained. In principle, the network performs mapping from the complex input data into the desired angle response. Computer simulations demonstrate that the proposed scheme is effective in combating multipath interference
Keywords :
cellular radio; direction-of-arrival estimation; least squares approximations; neural nets; telecommunication computing; angle-of-arrival estimation; antenna array beamformers; beamspace neural network; cellular communications; computer simulation; least-square approximation; mobile unit localization; multipath interference; radial basis function; Antenna arrays; Computer simulation; Interference; Narrowband; Neural networks; Optical reflection; Phased arrays; Sampling methods; Training data; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1994. APCCAS '94., 1994 IEEE Asia-Pacific Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2440-4
Type :
conf
DOI :
10.1109/APCCAS.1994.514517
Filename :
514517
Link To Document :
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