DocumentCode :
3331110
Title :
Clustering wireless channel impulse responses in angular-delay domain
Author :
Shutin, Dmitriy
Author_Institution :
Inst. of Signal Process. & Speech Commun., Graz Univ. of Technol., Austria
fYear :
2004
fDate :
11-14 July 2004
Firstpage :
253
Lastpage :
257
Abstract :
This work introduces a novel wireless MIMO channel clustering technique implemented in angular and delay domains. The clustering is preceded by extraction of angular and delay information from the sampled impulse response. Akaike information criterion (AIC) has been used to find the number of multipath components arriving at the same delay bin but having different directions of incidence. The latter have been resolved with ESPRIT algorithm. A modified Saleh-Valenzuela model is used as a basis for the derivation of the unsupervised clustering algorithm. To avoid estimation of the joint angle-delay density function required for the clustering algorithm, it is ´factorized´ algorithmically by first identifying clusters in the delay domain and then finding angular clusters ´conditioned´ on the corresponding delay cluster. The algorithm has been applied to measured MIMO channel impulse responses and is able to find visually identifiable clusters as well as their width.
Keywords :
MIMO systems; antenna arrays; delays; fading channels; multipath channels; statistical analysis; transient response; AIC; Akaike information criterion; ESPRIT algorithm; Saleh-Valenzuela model; angle-delay density function; angular-delay domain; channel impulse response; clustering technique; factorization; information extraction; multipath component; wireless MIMO channel; Clustering algorithms; Data mining; Delay estimation; Density functional theory; Fading; MIMO; Oral communication; Signal processing; Signal processing algorithms; Transceivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2004 IEEE 5th Workshop on
Print_ISBN :
0-7803-8337-0
Type :
conf
DOI :
10.1109/SPAWC.2004.1439243
Filename :
1439243
Link To Document :
بازگشت