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Prototyping Neuroadaptive Smart Antenna for 3G Wireless Communications

Abstract

This paper describes prototyping of a neuroadaptive smart antenna beamforming algorithm using hardware-software implemented RBF neural network and FPGA system-on-programmable-chip (SoPC) approach. The aim is to implement the adaptive beamforming unit in a combination of hardware and software by estimating its performance against the fixed real-time constraint based on IMT-2000 family of 3G cellular communication standards.

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Correspondence to William To.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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To, W., Salcic, Z. & Nguang, S.K. Prototyping Neuroadaptive Smart Antenna for 3G Wireless Communications. EURASIP J. Adv. Signal Process. 2005, 262165 (2005). https://doi.org/10.1155/ASP.2005.1093

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Keywords and phrases

  • RBF neural network
  • smart antenna
  • prototyping
  • FPGA