On the reliability of multipath cluster estimation in realistic channel data sets

Author

Schneider, C. ; Ibraheam, M. ; Hafner, Stephan ; Kaske, Martin ; Hein, Matthias ; Thoma, Reiner S.

Author_Institution

Inst. for Inf. Technol., Tech. Univ. Ilmenau, Ilmenau, Germany

fYear

2014

fDate

6-11 April 2014

Firstpage

449

Lastpage

453

Abstract

For the parametrization of geometry based stochastic channel models as from the IST-WINNER or COST 273/IC1004 initiatives large data analysis from channel sounding campaigns play an important role. Whereby the reliability of cluster charaterisation as a post-processing step after the high resolution multipath estimation exhibits a crucial issue. In this contribution a framework for evaluation and development of different cluster algorithms is discussed. Furthermore a novel hierarchical algorithm is introduced and compared to standard K-means and Fuzzy-C-means algorithms. Whereby the new algorithm outperforms the standard algorithms wrt. increasing number and size of clusters.

Keywords

channel estimation; fuzzy set theory; telecommunication network reliability; COST 273/IC1004 initiatives; IST-WINNER; K-means algorithms; broadband wireless channel models; cluster charaterisation; fuzzy-C-means algorithms; geometry based stochastic channel models; multipath cluster estimation reliability; realistic channel data sets; resolution multipath estimation; Algorithm design and analysis; Azimuth; Channel models; Clustering algorithms; Estimation; Indexes; Reliability; Multipath clustering; geometry-based stochastic channel model; high resolution multipath parameter estimation; spatial channel modelling;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation (EuCAP), 2014 8th European Conference on

Conference_Location

The Hague

Type

conf

DOI

10.1109/EuCAP.2014.6901789

Filename

6901789