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

^*此作品的通信作者

電機工程學系

研究成果: Paper › 同行評審

1 引文斯高帕斯（Scopus）

摘要

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.

原文	English
頁面	18-23
頁數	6
DOIs	https://doi.org/10.1109/APCCAS.1994.514517
出版狀態	Published - 5 12月 1994
事件	Proceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems - Taipei, Taiwan 持續時間: 5 12月 1994 → 8 12月 1994

Conference

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

存取文件

10.1109/APCCAS.1994.514517

其它文件與鏈接

Link to publication in Scopus

引用此

@conference{341727ba729443d387dc021bb02c9a59,

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,

day = "5",

doi = "10.1109/APCCAS.1994.514517",

language = "English",

pages = "18--23",

note = "Proceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems ; Conference date: 05-12-1994 Through 08-12-1994",

}

TY - CONF

T1 - Novel beamspace neural network approach to mobile unit localization

AU - Dai, Tser Ya

AU - Lee, Ta-Sung

AU - Hwang, Chung Rong

PY - 1994/12/5

Y1 - 1994/12/5

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=0028741204&partnerID=8YFLogxK

U2 - 10.1109/APCCAS.1994.514517

DO - 10.1109/APCCAS.1994.514517

M3 - Paper

AN - SCOPUS:0028741204

SP - 18

EP - 23

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

Y2 - 5 December 1994 through 8 December 1994

ER -

Novel beamspace neural network approach to mobile unit localization

摘要

Conference

存取文件

其它文件與鏈接

指紋

引用此