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Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling
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DOI：10.1109/TVT.2019.2951374.png)
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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.
Keyword:
Clustering
tracking
multipath component (MPC)
channel measurement and modeling
machine learning
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7.1
论文数:
1.8W
被引数:
6.6W
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