A genetic algorithm based finger selection scheme for UWB MMSE rake receivers

Sinan Gezici, Mung Chiang, H. Vincent Poor, Hisashi Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Due to a large number of multipath components in a typical ultra wideband (UWB) system, selective Rake (SRake) receivers, which combine energy from a subset of multipath components, are commonly employed. In order to optimize system performance, an optimal selection of multipath components to be employed at fingers of an SRake receiver needs to be considered. In this paper, this finger selection problem is investigated for a minimum mean square error (MMSE) UWB SRake receiver. Since the optimal solution is NP hard, a genetic algorithm (GA) based iterative scheme is proposed, which can achieve near-optimal performance after a reasonable number of iterations. Simulation results are presented to compare the performance of the proposed finger selection algorithm with those of the conventional and optimal schemes.

Original languageEnglish (US)
Title of host publicationICU 2005
Subtitle of host publication2005 IEEE International Conference on Ultra-Wideband, Conference Proceedings
Pages164-169
Number of pages6
StatePublished - Dec 1 2005
EventICU 2005: 2005 IEEE International Conference on Ultra-Wideband - Zurich, Switzerland
Duration: Sep 5 2005Sep 8 2005

Publication series

NameICU 2005: 2005 IEEE International Conference on Ultra-Wideband, Conference Proceedings
Volume2005

Other

OtherICU 2005: 2005 IEEE International Conference on Ultra-Wideband
CountrySwitzerland
CityZurich
Period9/5/059/8/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Keywords

  • Genetic algorithm (GA)
  • Impulse radio (IR)
  • MMSE rake receiver
  • Optimization
  • Ultra-wideband (UWB)

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