Abstract | ||
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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. |
Year | DOI | Venue |
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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 Huang | 1 | 17 | 1.93 |
Andreas F. Molisach | 2 | 8233 | 616.51 |
Yangli-ao Geng | 3 | 17 | 4.73 |
Ruisi He | 4 | 528 | 55.85 |
Bo Ai | 5 | 1581 | 185.94 |
Zhangdui Zhong | 6 | 1577 | 177.76 |