2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2018
DOI: 10.1109/pimrc.2018.8580964
|View full text |Cite
|
Sign up to set email alerts
|

Impact of Rough Surface Scattering on Stochastic Multipath Component Models

Abstract: Multipath-assisted positioning makes use of specular multipath components (MPCs), whose parameters are geometrically related to the positions of the transceiver nodes. Diffuse scattering from rough surfaces affects the observed specular reflections in the angular and delay domains. Based on the effective roughness approach, the angular delay power spectrum can be calculated as a function of location parameters, which-in a next step-could be useful to accurately characterize the position-related information of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
14
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
4
2

Relationship

2
4

Authors

Journals

citations
Cited by 11 publications
(14 citation statements)
references
References 25 publications
0
14
0
Order By: Relevance
“…We propose a generative model for simulating the diffuse multipath of mmWave channels, based on [30], [31]. This model starts from generating points on the surface, based on the its roughness.…”
Section: B Channel Modelmentioning
confidence: 99%
See 3 more Smart Citations
“…We propose a generative model for simulating the diffuse multipath of mmWave channels, based on [30], [31]. This model starts from generating points on the surface, based on the its roughness.…”
Section: B Channel Modelmentioning
confidence: 99%
“…1) Surface Roughness and Scattering: The propagation environment consists of K well-separated clusters, each cluster k corresponds to a physical object (e.g., a wall, a ground reflection), described by MPCs, characterized by two parameters [30], [31]:…”
Section: B Channel Modelmentioning
confidence: 99%
See 2 more Smart Citations
“…It becomes quite complicated and challenging, if both the nominal parameter and deviation are parameters of interest. Attempts have been made for a stochastic description of the dense multipaths [25,26].…”
Section: From Point To Distributed Source Modelsmentioning
confidence: 99%