% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@PHDTHESIS{Siebert:1011639,
author = {Siebert, Christian},
othercontributors = {Meurer, Michael and Pany, Thomas},
title = {{A}dvanced signal processing strategies for resilient
satellite navigation using multi-correlator structures},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2025-04630},
pages = {1 Online-Ressource : Illustrationen},
year = {2025},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, Rheinisch-Westfälische Technische
Hochschule Aachen, 2025},
abstract = {Positioning and timing has become a crucial component in a
broad field of applications. This spans from positioning and
navigation in aeronautics, maritime, and automobile
applications to system critical time synchronization of
power grids or mobile telecommunication networks. On a
global scale, this is achieved already today with global
navigation satellite systems (GNSSs). However, environmental
conditions can affect their performance and reliability. A
well-known threat in this context is the multipath
propagation. Objects in the nearer receiver environment
reflect the satellite signals, which can cause errors or
even failure of conventional GNSS receivers. A second threat
are atmospheric effects, in particular due to the
ionosphere. Solar radiation ionizes the remaining atoms and
molecules in this layer of the atmosphere. The resulting
free electrons introduce additional signal delays. As this
effect is frequency-dependent, it can be largely eliminated
with a multi-frequency receiver using the ionosphere-free
combination. Unfortunately, other errors, such as multipath
errors, tend to be amplified in this process. Multipath
propagation depicts therewith a limiting factor in GNSS. In
the literature, a large number of approaches have been
proposed in the past to mitigate the effect of multipath.
They vary in effectiveness and complexity depending on the
application and requirements they were developed for.
Nevertheless, a certain gap has been identified in the
literature regarding solutions, that are effective, provide
a good noise performance, and are of feasible complexity. In
this work, a multipath mitigating algorithm has been
developed, that is designed to fill this gap. Propagation
characteristics are estimated in the form of a line-of-sight
(LOS) delay and an impulse response that represents
multipath components. This enables an improved delay
estimation. The approach will be analyzed with synthetic
data, hardware emulations, as well as actual measurement
data, confirming that it fulfills the design criteria. In
addition, the integration into an advanced vector tracking
(VT) receiver architecture has been shown. The joint
processing of all satellites increases reliability in
challenging environments and depicts with the increased
multipath resilience of the proposed algorithm a strong
combination. Moreover, the extension to simultaneously
processing multiple frequencies has been explored. The
therewith achieved observability of the ionospheric delays
is used to actively estimate this effect. The multipath
resilience of the underlying developed algorithm allows for
an accurate estimation, also in multipath environments. Last
but not least, the extension to antenna arrays has been
explored. The therewith additionally available spatial
domain allows to overcome the temporal resolution limit that
was limiting the effectiveness of the proposed solution
against short delay multipaths.},
cin = {614710},
ddc = {621.3},
cid = {$I:(DE-82)614710_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2025-04630},
url = {https://publications.rwth-aachen.de/record/1011639},
}
guest ::