Title
Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling
Abstract
Clustering of multipath components (MPCs) is an important aspect of propagation channel modeling. When a time series of measurements, based on movement of transmitter and/or receiver, is available, the temporal evolution of MPCs can be used as a basis for clustering. We present an algorithm that bases clustering not only on distance of MPCs in the delay/angle space, but also how similar the temporal evolution of their parameters are. Sample results obtained from a vehicle-to-vehicle measurement campaign show good performance of the proposed algorithm.
Year
DOI
Venue
2020
10.1109/TVT.2019.2951374
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Trajectory,Clustering algorithms,Delays,Channel models,Doppler effect,Time-varying channels
Computer science,Algorithm,Communication channel,Electronic engineering,Cluster analysis,Trajectory
Journal
Volume
Issue
ISSN
69
1
0018-9545
Citations 
PageRank 
References 
6
0.41
0
Authors
6
Name
Order
Citations
PageRank
Chen Huang1171.93
Andreas F. Molisach28233616.51
Yangli-ao Geng3174.73
Ruisi He452855.85
Bo Ai51581185.94
Zhangdui Zhong61577177.76