Prototyping neuroadaptive smart antenna for 3G wireless communications

  • Authors:
  • William To;Zoran Salcic;Sing Kiong Nguang

  • Affiliations:
  • Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand;Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand;Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2005

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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.