Multiuser detection using adaptive multistage matrix wiener filtering schemes with stage-selection criteria in DS-UWB

  • Authors:
  • Chia-Chang Hu;Hsuan-Yu Lin

  • Affiliations:
  • Department of Communications Engineering, National Chung Cheng University, Chia-Yi, Taiwan;Telecom Technology Division, Telecom Technology Center, Kaohsiung, Taiwan

  • Venue:
  • EURASIP Journal on Advances in Signal Processing
  • Year:
  • 2008

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Abstract

Adaptive reduced-rank (RR) multistage matrix Wiener filtering (MMWF) techniques, based on the minimum mean-square error (MMSE) criterion, are proposed for direct-sequence (DS) ultra-wideband (UWB) communication systems. These RR-MMWF-based algorithms employ an adaptive fuzzy-inference determined filter stage. As a consequence, the proposed schemes achieve a substantial saving in complexity without compromising system performance and dynamic convergence/tracking capability. Additionally, the fuzzy-logic-controlled matrix conjugate gradient (MCG) algorithm is developed for a robust and reduced-rank implementation of the full-rank MMWF. Simulations are conducted to illustrate the convergence/tracking superiority and to provide a comparative evaluation of the proposed algorithms with the MMWF-based schemes using other adaptive stage-selecting criteria.