Publikationen des InIT der TU IlmenauPublikationen des InIT der TU Ilmenau
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Gupta, Sonakshi;
Interactive platform for demonstrating different channel modeling approaches and features. - Ilmenau. - 62 Seiten
Technische Universität Ilmenau, Masterarbeit 2022

Bei der drahtlosen Kommunikation wird die Qualität des empfangenen Signals durch Faktoren wie Empfängerempfindlichkeit, Sendeleistung, Antennenparameter, Kommunikationsfrequenz und Kanalausbreitungseigenschaften bestimmt. Das Verständnis dieser Eigenschaften ist für die Arbeit mit und für die Analyse von drahtloser Kommunikation notwendig. Die Modellierung drahtloser Kanale bei der Planung von Kommunikationsnetzen und der Bewertung der Leistung eines Kommunikationssystems für bestimmte Kanalparameter. Das Verständnis des drahtlosen Kommunikationssystems kann durch die Visualisierung verschiedener Kanalmodellierungsansätze und -eigenschaften in dreidimensionalen Darstellungen vereinfacht werden. In dieser Masterarbeit wird das Konzept einer interaktiven Plattform aus Pappkartons und Sand zur Modellierung von Kanalumgebungen zur Demonstration verschiedener Kanalmodellierungsmethoden und -funktionen vorgeschlagen. Dazu, um einige drahtlose Ausbreitungsmerkmale wie Sichtlinie, Fresnel-Zone, Beugung an einer scharfen Kante, Antennenstrahlungsmuster, Mehrwegeausbreitung, Signalabdeckung und scattering-clusters. Darüber hinaus wird ein Konzept für den Aufbau der interaktiven Plattform, der Benutzeroberfläche und der Bibliothek der Programmierschnittstellen entwickelt. Das Systemdesign und das Konzept sind anpassbar, um den Anforderungen der Benutzer gerecht zu werden. Darüber hinaus wird in dieser Arbeit eine Referenzimplementierung für das vorgeschlagene Konzept entwickelt. Die auf der dreidimensionalen Plattform erstellte Szene wird mit einer Tiefensensorkamera aufgenommen. Die Szene wird dann so skaliert, dass sie einer natürlichen Kanalumgebung ähnelt. Auf der Grundlage der angegebenen Sender- und Empfängerpositionen werden dann dreidimensionale Abbildungen entwickelt, die die Merkmale der drahtlosen Ausbreitung darstellen. Die Draufsicht dieser Abbildungen wird auf die Plattformszene projiziert, um die Visualisierung der drahtlosen Kommunikationssysteme zu zeigen. Darüber hinaus werden die Abbildungen der Merkmale auch innerhalb des dreidimensionalen Modells der Szene simuliert. Um Daten für die Implementierung von Illustrationen für die drahtlose Mehrwegeausbreitung zu demonstrieren, wird ein Ray-Tracing-Algorithmus implementiert, der auf der SBR-Methode (Shooting Bouncing Ray) basiert.



Raghavendran, Pranesh;
Doppler-domain based enhancements for Type-II 5G NR codebooks. - Ilmenau. - 67 Seiten
Technische Universität Ilmenau, Masterarbeit 2022

In der Spezifikation für 5G New Radio (NR) wurden zwei Arten von Codebüchern, nämlich Typ-I und Typ-II, festgelegt. CB des Typs II bieten im Vergleich zu CB des Typs I eine hochauflösende und genauere Darstellung des Ausbreitungskanals. Mehrere Varianten der Typ-IICBs wurden bis zu Rel. 17 des Third Generation Partnership Project (3GPP) NR spezifiziert. Alle Varianten sind jedoch auf Fußgänger oder Szenarien mit geringer Mobilität ausgerichtet. Die aktuellen Typ-II-CBs bieten bei mittleren bis hohen Geschwindigkeiten keine angemessene Leistung, was hauptsächlich auf die derzeitige CSI-Messung und -Berichterstattung auf Basis der Kanalkohärenzzeit zurückzuführen ist, die die Kanalalterungseffekte der Ausbreitungskanäle nicht erfasst. In jüngster Zeit hat die Doppler-basierte Vorcodierung großes Interesse geweckt, da sie in der Lage ist, die Kanalalterungseffekte durch Ausnutzung der Doppler-Informationen der Ausbreitungskanäle zu überwinden. In dieser Masterarbeit wird ein vollständiges Rahmenwerk für Doppler-basierte Vorcodierung auf der Grundlage der aktuellen Typ-II-CBs entwickelt. Verschiedene Schätzverfahren, nämlich der gradientenbasierte Maximum Likelihood Parameterschätzer (RIMAX) und Orthogonal Matching Pursuit (OMP), werden zur Schätzung des Kanals verwendet, und ein auf OMP basierender Schätzalgorithmus mit geringer Komplexität wird vorgeschlagen. Auf der Grundlage des geschätzten Kanals wird die Berechnung der Vorkodierer sowohl an der gNodeB (gNB) als auch an der Benutzerausrüstung (UE) vorgeschlagen. Die vorgeschlagenen Vorkodierer werden in Bezug auf die Leistung und den Rückkopplungs-Overhead mit den Rel. 16 Typ II Vorkodierern verglichen. Darüber hinaus wird die Auswirkung der vorgeschlagenen Vorkodierer in Bezug auf steigende Aktualisierungsraten, Anzahl der Unterbänder und eine Reihe von Überabtastungsfaktoren für die Verzögerungs- und Doppler-Komponenten untersucht. Simulationsergebnisse, die auf der durchschnittlichen gegenseitigen Information basieren, und vorläufige Simulationsergebnisse auf Verbindungsebene zeigen, dass der vorgeschlagene Vorkodierer, der die Doppler- Information ausnutzt, die Rel. 16 Vorkodierer sowohl in Bezug auf die Leistung als auch den Rückkopplungs-Overhead übertrifft.



Khamidullina, Liana; Almeida, André L. F. de; Haardt, Martin
Multilinear generalized singular value decomposition (ML-GSVD) and its application to multiuser MIMO systems. - In: IEEE transactions on signal processing, ISSN 1941-0476, Bd. 70 (2022), S. 2783-2797

In this paper, we introduce a Multilinear Generalized Singular Value Decomposition (ML-GSVD) for two or more matrices with one common dimension. The ML-GSVD extends the Generalized Singular Value decomposition (GSVD) of two matrices to higher orders. The proposed decomposition allows us to jointly factorize a set of matrices with one common dimension. In comparison with other approaches that extend the GSVD, the ML-GSVD preserves the essential properties of the original (matrix-based) GSVD, such as orthogonality of the second-mode factor matrices as well as the subspace structure of the third-mode factor matrices. We introduce an ALS-based algorithm to compute the ML-GSVD, which has been inspired by PARAFAC2 decomposition algorithms. In addition, we present an application of the ML-GSVD for transceiver optimization in multicast and unicast MIMO-OFDM systems. Our numerical results show that the proposed ML-GSVD multicast and unicast beamforming outperforms existing state-of-the-art schemes in terms of the sum rate.



https://doi.org/10.1109/TSP.2022.3178902
Müller, Robert; Dupleich, Diego
THz broadband channel sounders. - In: THz Communications, (2022), S. 37-48

This chapter is the perfect introduction to get an overview of THz channel sounder technologies. Additionally, all relevant state of the art and references for the field of THz channel sounding are summarized. The aim of the THz sounder chapter is to create a basic understanding of measurement setups and challenges for the measurement of the electromagnetic wave propagation in the THz range. All necessary principles, from generating the transmit signal over different mixing principles to the THz band and the data acquisition, are compact summarized.



Wegner, Tim Erich; Gedschold, Jonas; Kropp, Gerrit; Trabert, Johannes; Kmec, Martin; Del Galdo, Giovanni
Descending staircase detection for service robots based on M-sequence UWB radar. - In: 2021 18th European Radar Conference, (2022), S. 29-32

Service robotics is expected to be one of the central growth industries of this century. The technological key to this lies in the sufficient perception of the environment, even under difficult conditions, because mobile robots have to orientate themselves and navigate without collision under all circumstances. However, the safe detection of especially descending stairs is a big challenge so far. In this paper, the results of descending staircase detection using UWB radar are shown. The individual steps of the signal processing from signal preparation to multi-target tracking are briefly explained and an outlook is given on how to classify a staircase based on the results. For all investigated stairs the edge of the first step could be detected reliably from a distance of 1.5 m and multiple steps are distinguishable as well.



https://doi.org/10.23919/EuRAD50154.2022.9784493
Hofmann, Willi; Schwind, Andreas; Bornkessel, Christian; Hein, Matthias
Angle-dependent reflectivity of microwave absorbers at oblique wave incidence. - In: 2021 51st European Microwave Conference, (2022), S. 233-236

For frequencies in the GHz-range, anechoic chambers are usually evaluated using ray-tracing techniques to locate disturbing reflections off the chamber walls. Most approaches reduce this wave-absorber interaction to a specular reflection, although the absorbers may extend over several wavelengths in size and display a rough surface. In order to develop more realistic ray-tracing models, the reflection characteristics of absorbers must be evaluated based on physical wave phenomena. In this paper, a measurement method is proposed which extends the established NRL-arch to measure the angle-dependent reflectivity for non-specular cases. First measurement results of commercial pyramidal absorbers in the frequency range between 1GHz and 10GHz indicate that the assumption of specular reflections is not justified, as power is reflected over a wide angular range with approximately the same intensity. This effect is, to our knowledge, currently not implemented in ray-tracing methods. These results contribute to a better understanding of the properties of RF absorbers to improve the efficiency of their use.



https://doi.org/10.23919/EuMC50147.2022.9784282
Smeenk, Carsten; Wegner, Tim Erich; Kropp, Gerrit; Trabert, Johannes; Del Galdo, Giovanni
Localization and navigation of service robots by means of M-sequence UWB radars. - In: 2021 18th European Radar Conference, (2022), S. 189-192

The use of service robots has become much more relevant in industry and retail in recent years. To be of best possible benefit to humans, an autonomous motion ability of the service robots is of central importance. This requires that the robot can perceive its surroundings as precisely as possible by using different sensors and their fusion. In contrast to optical sensors, an UWB sensor can, for example, detect small and almost invisible objects such as glass panes with high range resolution. In this paper, a signal processing chain for detection of the environment with M-sequence UWB sensors is proposed. The proposed chain includes pulse reconstruction based on calibration measurements, background subtraction, object detection based on CFAR techniques, and multi-target tracking based on the Kalman filter and the nearest-neighbor approach.



https://doi.org/10.23919/EuRAD50154.2022.9784511
Schilling, Lisa-Marie; Bornkessel, Christian; Hein, Matthias
Impact of small-cell deployment on combined uplink and downlink RF exposure compared to the status quo in mobile networks. - In: 2021 51st European Microwave Conference, (2022), S. 618-621

As new cellular technologies are introduced in mobile networks nowadays, more and more small cells and mobile road side units are being deployed to upgrade the performance of the wireless communication network. With regard to the overall human RF exposure, the question arises to what extent the exposure is affected by the deployment of such small cells compared to macro cells as the status quo. In an attempt to answer this important question, this paper proposes a method to measure and evaluate the combined uplink and downlink exposure in terms of the specific absorption rate of a mobile phone user at recently installed small cell locations. The comparison between the small cell and macro cell scenarios revealed a reduction of the total exposure when the user equipment was logged into the investigated LTE small cells, although the downlink exposure increased. The main reason for this encouraging result is the reduction of the uplink transmission power due to the improved link conditions across the small cell. In contrast, the total exposure in a macro cell scenario is dominated by the uplink exposure. In order to minimise the total exposure, a balance must be sought between downlink and uplink exposure.



https://doi.org/10.23919/EuMC50147.2022.9784284
Aust, Philip; Hau, Florian; Dickmann, Jürgen; Hein, Matthias
A data-driven approach for stochastic modeling of automotive radar detections for extended objects. - In: Ulm 2022 GeMiC, (2022), S. 80-83

Radar sensors play an important role in automated driving technologies. However, the rising number of sensors deployed to enable autonomous driving functions leads to enormous validation efforts. While simulations are a possible approach to accelerate the validation process, the development effort for realistic sensor models increases significantly. Data-driven sensor models offer the possibility to replicate sensor data accurately and efficiently. Using real measurement data, the sensor output can be simulated without the detailed parametric modeling of the wave propagation and sensor effects. In this paper, the radar signatures of a passenger vehicle under a constant aspect angle are analyzed in real measurements. Then, a data-driven approach for stochastically modeling the radar target detections is presented. The model is trained with real sensor data to achieve a high degree of realism. A qualitative comparison between the simulated and measured detections reveals promising results.



https://ieeexplore.ieee.org/document/9783497
Kalloch, Benjamin; Weise, Konstantin; Lampe, Leonie; Bazin, Pierre-Louis; Villringer, Arno; Hlawitschka, Mario; Sehm, Bernhard
The influence of white matter lesions on the electric field in transcranial electric stimulation. - In: NeuroImage: Clinical, ISSN 2213-1582, Bd. 35 (2022), 103071, S. 1-12

Background - Transcranial direct current stimulation (tDCS) is a promising tool to enhance therapeutic efforts, for instance, after a stroke. The achieved stimulation effects exhibit high inter-subject variability, primarily driven by perturbations of the induced electric field (EF). Differences are further elevated in the aging brain due to anatomical changes such as atrophy or lesions. Informing tDCS protocols by computer-based, individualized EF simulations is a suggested measure to mitigate this variability. - Objective - While brain anatomy in general and specifically atrophy as well as stroke lesions are deemed influential on the EF in simulation studies, the influence of the uncertainty in the change of the electrical properties of the white matter due to white matter lesions (WMLs) has not been quantified yet. - Methods - A group simulation study with 88 subjects assigned into four groups of increasing lesion load was conducted. Due to the lack of information about the electrical conductivity of WMLs, an uncertainty analysis was employed to quantify the variability in the simulation when choosing an arbitrary conductivity value for the lesioned tissue. - Results - The contribution of WMLs to the EF variance was on average only one tenth to one thousandth of the contribution of the other modeled tissues. While the contribution of the WMLs significantly increased (p≪.01) in subjects exhibiting a high lesion load compared to low lesion load subjects, typically by a factor of 10 and above, the total variance of the EF didnot change with the lesion load. - Conclusion - Our results suggest that WMLs do not perturb the EF globally and can thus be omitted when modeling subjects with low to medium lesion load. However, for high lesion load subjects, the omission of WMLs may yield less robust local EF estimations in the vicinity of the lesioned tissue. Our results contribute to the efforts of accurate modeling of tDCS for treatment planning.



https://doi.org/10.1016/j.nicl.2022.103071