Title :
A clustering method of arrival waves suitable for analyzing propagation characteristics
Author :
Sawada, Hirokazu ; Shoji, Yozo ; Sato, Katsuyoshi
Author_Institution :
Tohoku Inst. of Technol., Yokosuka
Abstract :
In analyzing propagation data, It is called "clustering" to classify arrival rays into groups (clusters) according to ToA (time of arrival) and AoA (angle of arrival). Extracting the parameters of each cluster is useful to understand the propagation characteristics in detail, and also to design the wireless system properly. This paper discusses a new clustering method which solves the problem the conventional clustering methods have.
Keywords :
direction-of-arrival estimation; radiowave propagation; time-of-arrival estimation; angle of arrival; arrival rays; arrival waves; clustering method; propagation characteristics; time-of-arrival; wireless system; Clustering algorithms; Clustering methods; Communications technology; Data analysis; Data mining; Frequency; Information analysis; Millimeter wave propagation; Millimeter wave technology; Physical layer;
Conference_Titel :
Millimeter Waves, 2008. GSMM 2008. Global Symposium on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1885-5
Electronic_ISBN :
978-1-4244-1886-2
DOI :
10.1109/GSMM.2008.4534663