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

Author

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

Author_Institution

Dept. of Electr. Eng., Princeton Univ., NJ, USA

fYear

2005

fDate

5-8 Sept. 2005

Firstpage

164

Lastpage

169

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.

Keywords

genetic algorithms; iterative methods; least mean squares methods; radio receivers; ultra wideband communication; UWB MMSE rake receivers; finger selection scheme; genetic algorithm; iterative scheme; minimum mean square error; ultrawideband receivers; Diversity reception; Fading; Fingers; Genetic algorithms; Iterative algorithms; Mean square error methods; Multipath channels; RAKE receivers; Signal to noise ratio; Ultra wideband technology; MMSE Rake receiver; Ultra-wideband (UWB); genetic algorithm (GA); impulse radio (IR); optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultra-Wideband, 2005. ICU 2005. 2005 IEEE International Conference on

Print_ISBN

0-7803-9397-X

Type

conf

DOI

10.1109/ICU.2005.1569977

Filename

1569977