Geometrical Cluster-Based Scatterer Detection Method with the Movement of Mobile Terminal

Abstract

When a mobile station moves along a trajectory, it will see different parts of the same scatterers or scatterer groups during its movement. In this paper, we present a new method to identify such physical clusters of scatterers, and the corresponding groups of multipath components (MPCs) interacting with those clusters, from measurements of channel impulse responses. The method is based on identifying MPCs that have similar long-term properties -in the sense that they "effectively interact with" the same physical clusters, The method consists of four steps: (1) estimate the delays, the DOAs and the amplitudes of the MPCs in each time snapshot; (2) track the MPCs in the time-delay domain; (3) localize all the scattering points in a 2-D Cartesian coordinate system and cluster them on a map with a traditional Kmeans clustering algorithm; (4) merge the scattering points of different MPCs into physical clusters.The method is evaluated using both synthetic data and real measurement data from a suburban area. In the latter case, the locations and the sizes of the interacting objects identified from the measurements show excellent agreement with the location of physical objects in the environment such as pillars and buildings

Geometry-Based Clustering Characteristics for Outdoor Measurements at 28–30 GHz

“…X. Cai is with the Department of Electrical and Information Technology, Lund University, 22100 Lund, Sweden (email: xuesong.cai@eit.lth.se) (Corresponding author: Xuesong Cai) clusters to their corresponding physical interaction objects (IOs) in the real environment, a geometry-based clustering algorithm was proposed by the combination of measurement and Ray Tracing (RT) simulation, resulting in a closer match to the measured channels [6]. In [7], [8], a geometry-based clustering and tracking method was proposed according to the scattering points obtained from the measurement-based ray tracer for indoor and outdoor cases. However, only single and double bounces are considered for indoor line-of-sight (LoS) environment in [7], and only single bounce and a 2-D Cartesian coordinate system are considered for a suburban scenario in [8].…”

“…In [7], [8], a geometry-based clustering and tracking method was proposed according to the scattering points obtained from the measurement-based ray tracer for indoor and outdoor cases. However, only single and double bounces are considered for indoor line-of-sight (LoS) environment in [7], and only single bounce and a 2-D Cartesian coordinate system are considered for a suburban scenario in [8]. For the outdoor scenarios considered in the current work with multiple bounces (up to 7) in non-LoS (NLoS) scenarios, a more sophisticated mapping is needed.…”

A Novel Power Spectrum-Based Sequential Tracker for Time-Variant Radio Propagation Channel

“…Meanwhile, the latter framework first tracks the clusters or MPCs in the previous snapshot and then identifies clusters in the current snapshot based on the tracking results [19]- [21]. The other framework is first tracking last clustering (FTLC) which is presented in [22] and [23]. It identifies clusters considering the similarity of temporal evolution among scattering points or multipath trajectories.…”