DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Signal Processing for Distributed Kernel-based Estimation

Shin, Ban-Sok (2020) Signal Processing for Distributed Kernel-based Estimation. Dissertation, Universität Bremen.

Full text not available from this repository.

Official URL: https://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=978-3-8440-7311-9&search=yes


With an increased utilization of large sensor networks in applications such as environmental monitoring, hazard detection and health care, the methodology of a data processing within the network has been identified as a promising concept. While common approaches rely on centralized processing, in-network processing exploits the interconnections among the nodes to obtain a cooperative result. By that, the network is equipped with estimation capabilities and an increased robustness against node failures within the network. Corresponding algorithms have been widely developed in the literature. However, the majority of these consider linear functions only whereas usually physical phenomena such as the spatial distribution of temperature, humidity, altitude or radioactivity are described by nonlinear functions. Hence, existing in-network processing algorithms will perform poorly when applied to the spatial reconstruction of such physical quantities. To suggest solutions to this issue this thesis aims at deriving algorithms that enable a distributed estimation and regression of nonlinear functions. Within this thesis two core algorithms are proposed that achieve the aforementioned objective by a combination of concepts from kernel methods, set theoretic adaptive filtering and in-network processing. Simulative analyses of the proposed schemes for synthetic data as well as real altitude data show their capability for a distributed reconstruction of nonlinear functions. To enable a comprehensive study of the presented material this thesis provides insights to recent advances in kernel-based estimation, kernel adaptive filtering algorithms and distributed consensus-based schemes.

Item URL in elib:https://elib.dlr.de/135066/
Document Type:Thesis (Dissertation)
Title:Signal Processing for Distributed Kernel-based Estimation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:April 2020
Journal or Publication Title:Dissertationen aus dem Arbeitsbereich Nachrichtentechnik der Universität Bremen
Refereed publication:Yes
Open Access:No
Number of Pages:238
Keywords:kernel methods; nonlinear estimation; distributed signal processing; kernel adaptive filter
Institution:Universität Bremen
Department:Arbeitsbereich Nachrichtentechnik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Vorhaben GNSS2/Neue Dienste und Produkte (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Shin, Dr.-Ing. Ban-Sok
Deposited On:04 Jun 2020 17:57
Last Modified:20 Feb 2024 14:19

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.