A Framework of Automatic Clustering and Tracking for Time-Variant Multipath Components

A framework of automatic clustering and tracking algorithm is proposed for the multipath components (MPCs) in time-variant radio channels. The algorithm is based on the channel dynamics in time domain and is able to reflect the birth and death behaviors of MPCs naturally. The proposed algorithm is validated by a ray-tracer and the spatial channel model extension simulations. Compared with other existing clustering algorithms, the proposed framework is able to cluster the time-varying MPCs and track the clusters with high accuracy and low complexity.

针对时变无线信道中的多径分量（MPC），提出了一种自动聚类和跟踪算法框架。该算法基于时域的信道动态特性，能够自然地反映多径分量的产生和消失行为。通过射线追踪器和空间信道模型扩展仿真对所提算法进行了验证。与其他现有的聚类算法相比，所提框架能够对时变多径分量进行聚类，并以高精度和低复杂度对聚类进行跟踪。