Multiple Receive-Antennas Aided and RBF-Based Multiuser Detection for STBC Systems

  • Authors:
  • Hongwu Liu;Ji Li

  • Affiliations:
  • School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan, China;School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

  • Venue:
  • ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
  • Year:
  • 2007

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Abstract

In this paper, authors propose a multiuser detection (MUD) scheme using a radial basis function (RBF) network for a space-time block coding (STBC) systems with multiple receive-antennas. The neuron centers of the RBFs are jointly carried out in space and time domains, which lead to a powerful technique to combat the interference resulting from different sources. Simulations compare this detector with traditional receiver structures such as the minimum mean square error (MMSE) receiver and maximum likelihood detection (MLD). It shows that this RBF-based space-time MUD can be flexibly trade off between the bit error rate (BER) performance, the center initialization- rate and the number of the receive-antennas.