Statistical Analysis of Multipath Clustering in an Indoor Office Environment

Autor: Liénard Martine, Nasr Abdelmottaleb, Stefanut Paul, Degauque Pierre, Tanghe Emmeric, Joseph Wout, Martens Luc
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: EURASIP Journal on Wireless Communications and Networking, Vol 2011, Iss 1, p 263134 (2011)
Druh dokumentu: article
ISSN: 1687-1472
1687-1499
Popis: A parametric directional-based MIMO channel model is presented which takes multipath clustering into account. The directional propagation path parameters include azimuth of arrival (AoA), azimuth of departure (AoD), delay, and power. MIMO measurements are carried out in an indoor office environment using the virtual antenna array method with a vector network analyzer. Propagation paths are extracted using a joint 5D ESPRIT algorithm and are automatically clustered with the K-power-means algorithm. This work focuses on the statistical treatment of the propagation parameters within individual clusters (intracluster statistics) and the change in these parameters from one cluster to another (intercluster statistics). Motivated choices for the statistical distributions of the intracluster and intercluster parameters are made. To validate these choices, the parameters' goodness of fit to the proposed distributions is verified using a number of powerful statistical hypothesis tests. Additionally, parameter correlations are calculated and tested for their significance. Building on the concept of multipath clusters, this paper also provides a new notation of the MIMO channel matrix (named FActorization into a BLock-diagonal Expression or FABLE) which more visibly shows the clustered nature of propagation paths.
Databáze: Directory of Open Access Journals
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