Wireless Channel Parameter Estimation using Artificial Neural Networks

Udatny, Vitek (2021) Wireless Channel Parameter Estimation using Artificial Neural Networks. Bachelor's, Czech Technical University in Prague.

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Official URL: https://dspace.cvut.cz/handle/10467/94747

Item URL in elib:

https://elib.dlr.de/142823/

Document Type:

Thesis (Bachelor's)

Additional Information:

DLR Kontakt: Rostislav Karasek (Rostislav.Karasek@dlr.de)

Title:

Wireless Channel Parameter Estimation using Artificial Neural Networks

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Udatny, Vitek	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

June 2021

Refereed publication:

Open Access:

Number of Pages:

Status:

Published

Keywords:

signal processing, wireless channel parameter estimation, multi-path components, dense multi-path components, SAGE, Cramér-Rao lower bound, time of arrival, artificial neural network

Institution:

Czech Technical University in Prague

Department:

Department of Control Engineering

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Communication, Navigation, Quantum Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R KNQ - Communication, Navigation, Quantum Technology

DLR - Research theme (Project):

R - Project Navigation 4.0

Location:

Oberpfaffenhofen

Institutes and Institutions:

Institute of Communication and Navigation > Communications Systems

Deposited By:

Karasek, Rostislav

Deposited On:

30 Jun 2021 17:13

Last Modified:

30 Jun 2021 17:13

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