Novel beamspace neural network approach to mobile unit localization

Tser Ya Dai; Ta-Sung Lee; Chung Rong Hwang

doi:10.1109/APCCAS.1994.514517

Novel beamspace neural network approach to mobile unit localization

Tser Ya Dai^*, Ta-Sung Lee, Chung Rong Hwang

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

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 a mapping from the complex input data into the desired angle response. Computer simulations demonstrate that the proposed scheme is effective in combating multipath interference.

Original language	English
Pages	18-23
Number of pages	6
DOIs	https://doi.org/10.1109/APCCAS.1994.514517
State	Published - 5 Dec 1994
Event	Proceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems - Taipei, Taiwan Duration: 5 Dec 1994 → 8 Dec 1994

Conference

Conference	Proceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems
City	Taipei, Taiwan
Period	5/12/94 → 8/12/94

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10.1109/APCCAS.1994.514517

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title = "Novel beamspace neural network approach to mobile unit localization",

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 a mapping from the complex input data into the desired angle response. Computer simulations demonstrate that the proposed scheme is effective in combating multipath interference.",

author = "Dai, {Tser Ya} and Ta-Sung Lee and Hwang, {Chung Rong}",

year = "1994",

month = dec,

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doi = "10.1109/APCCAS.1994.514517",

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AB - 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 a mapping from the complex input data into the desired angle response. Computer simulations demonstrate that the proposed scheme is effective in combating multipath interference.

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T2 - Proceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems

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ER -

Novel beamspace neural network approach to mobile unit localization

Abstract

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