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