Analysis of Edge Detection for the Clusters in Radio Propagation Channel

Channel modeling is an important research field in radio propagation, whereas clustering is one of key processes in the channel modeling. In this paper, edge detection algorithm is firstly applied for the clusters of signal in radio propagation channels, which can recognize the clusters with low computation cost. In the proposed algorithm, the clusters are detected based on the distribution of signals' amplitude. Besides, different operators for edge detection are conducted and compared to validate the performance of edge detection for the clusters.

I. Introduction

Channel modeling is one of the fundamental research topic for radio propagation. The main goal of channel modeling is to characterize the multipath components (MPCs) in different environments. Besides, many recent radio channel models are based on the concept of clusters of multipath components (MPCs), such as the Saleh-Valenzuela (SV) model [1] and COST 2100 [2], etc., whereas the cluster has been generally considered as a group of MPCs with similar channel parameters like azimuth-of-arrival (AoA) and azimuth-of-departure (AoD) [3]–[5].