Title :
Estimation of the Number of Clusters in Multipath Radio Channel Data Sets
Author :
Mota, S. ; Perez-Fontan, Fernando ; Rocha, A.
Author_Institution :
Dept. of Electron., Telecommun. & Inf., Univ. of Aveiro, Aveiro, Portugal
fDate :
5/1/2013 12:00:00 AM
Abstract :
This communication deals with the grouping of the multipath radio channel components. The estimation of the number of clusters that a given data set exhibits is an important step in channel modeling and parameterization. We present a performance assessment of several cluster validity indices using Monte Carlo simulations. Synthetic channels were generated by means of the extended Saleh-Valenzuela model and used as input to a clustering algorithm which outputs several solutions with different number of clusters. The cluster validity indices allow the selection of the best solution. Finally, an example is presented where the best performing indices were applied to an experimental data set.
Keywords :
Monte Carlo methods; channel estimation; multipath channels; pattern clustering; wireless channels; Monte Carlo simulations; channel modeling; cluster number estimation; cluster validity indices; clustering algorithm; extended Saleh-Valenzuela model; multipath radio channel components; multipath radio channel data sets; synthetic channels; Antenna measurements; Channel estimation; Clustering algorithms; Data models; Delay; Estimation; Indexes; Cluster validity indices; fusion techniques; multipath components; radio channel measurements;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2013.2242823