DocumentCode :
2180429
Title :
Data analysis and modeling method for indoor human body-shadowing MIMO channels
Author :
Saito, K. ; Kitao, K. ; Imai, T. ; Okano, Y. ; Miura, S.
Author_Institution :
NTT DOCOMO Inc., Yokosuka, Japan
fYear :
2012
fDate :
26-30 March 2012
Firstpage :
1431
Lastpage :
1435
Abstract :
In recent years, MIMO communication systems such as IMT-Advanced and LTE have been put into practical use. Since MIMO transmission has an advantage in use in the indoor multipath-rich environment, the accurate indoor MIMO channel model is required for evaluating the systems. In the indoor environment, it is known that the channel state changes dynamically due to the human shadowing effect even if the receiver and the transmitter are fixed. In this paper, we propose the data analysis method of measured data for the indoor channel modeling. In our proposal, the propagation parameters of rays are estimated using SAGE algorithm. Then the rays are clustered using K-Power-Means algorithm. Next the human body shadowing of each cluster is estimated according to the resultant power variation of cluster. We carried out the measurements at 3.35GHz in the indoor environment and estimated the human body shadowing of each cluster.
Keywords :
MIMO communication; indoor radio; microwave measurement; pattern clustering; radio receivers; radio transmitters; wireless channels; IMT-advanced; K-power-mean algorithm; LTE; MIMO communication systems; SAGE algorithm; data analysis method; frequency 3.35 GHz; indoor environment; indoor human body-shadowing MIMO channels; modeling method; propagation parameters; radio receiver; radio transmitter; Antenna measurements; Biological system modeling; Clustering algorithms; Data analysis; MIMO; Power measurement; Shadow mapping; Channel Model; Human-Body Shadowing; Indoor Propagation; MIMO; Shadowing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (EUCAP), 2012 6th European Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0918-0
Electronic_ISBN :
978-1-4577-0919-7
Type :
conf
DOI :
10.1109/EuCAP.2012.6206063
Filename :
6206063
Link To Document :
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