Novel beamspace neural network approach to mobile unit localization

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

*Corresponding author for this work

Research output: Contribution to conferencePaper

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 languageEnglish
Pages18-23
Number of pages6
StatePublished - 1 Dec 1994
EventProceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems - Taipei, Taiwan
Duration: 5 Dec 19948 Dec 1994

Conference

ConferenceProceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems
CityTaipei, Taiwan
Period5/12/948/12/94

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    Dai, T. Y., Lee, T-S., & Hwang, C. R. (1994). Novel beamspace neural network approach to mobile unit localization. 18-23. Paper presented at Proceedings of the 1994 IEEE Asia-Pacific Conference on Circuits and Systems, Taipei, Taiwan, .