论文标题
毫米波繁殖通道的角簇与流域转化
Angular Clustering of Millimeter-Wave Propagation Channels with Watershed Transformation
论文作者
论文摘要
本文提出了基于图像处理的角度聚类方法。它用于在传播通道的2D表示中识别簇。该方法使用类分割等操作，特别适合通过在毫米波下进行的光束向导获得的定向通道。例如，这种情况发生在电子梁训练过程中使用模拟天线阵列在光束训练过程中或使用电子或机械梁向导进行通道模型测量过程中发生。特别是，此处提出的技术用于聚集二维功率角光谱图。提出的聚类是无监督的，并且非常适合通过考虑邻居样品之间的角连接来保留簇的形状，这对于获得通道角度性质的更准确描述很有用。就准确性和计算资源而言，该方法被发现以优于基于K-power手段的方法。使用IEEE 802.11AD通道模型在模拟中评估该技术，并在室内环境中使用60 GHz进行的实验进行测量。
An angular clustering method based on image processing is proposed in this paper. It is used to identify clusters in 2D representations of propagation channels. The approach uses operations such as watershed segmentation and is particularly well suited for clustering directional channels obtained by beam-steering at millimeter-wave. This situation occurs for instance with electronic beam-steering using analog antenna arrays during beam training process or during channel modeling measurements using either electronic or mechanical beam-steering. In particular, the proposed technique is used here to cluster two-dimensional power angular spectrum maps. The proposed clustering is unsupervised and is well suited to preserve the shape of clusters by considering the angular connection between neighbor samples, which is useful to obtain more accurate descriptions of channel angular properties. The approach is found to outperform approaches based on K-Power- Means in terms of accuracy as well as computational resource . The technique is assessed in simulation using IEEE 802.11ad channel model and in measurement using experiments conducted at 60 GHz in an indoor environment.
