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A Novel Tracking-Based Multipath Component Clustering Algorithm
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DOI：10.1109/LAWP.2017.2740622.png)
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摘要
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In mobile communications, wireless channel has been widely considered to be time-variant. To accurately model the time-variant channels, a tracking-based dynamic multipath components (MPCs) clustering algorithm is proposed in this letter. The tracking problem is considered as a total probability maximization estimation and solved by using the Kuhn-Munkres algorithm. The dynamic MPCs are further clustered based on the results of tracking. The algorithm is validated by using the simulated dynamic channels and compared with the distance-based tracking method. Simulation results show a good performance of the proposed algorithm.
Keyword:
Channel model
multipath component (MPC) clustering
MPC tracking
time-variant channels
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4.8
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