Marco Cimdins, M.Sc., BSEE

Position Wissenschaftlicher Mitarbeiter
Adresse Technische Hochschule Lübeck, Fachbereich Elektrotechnik und Informatik
Mönkhofer Weg 239
D-23562 Lübeck, Deutschland
Raum: 18-2.14
Telefon +49 (0)451 300-5631
E-Mail marco.cimdins@th-luebeck.de

Interessen

Ich bin seit dem 1. Februar 2017 als wissenschaftlicher Mitarbeiter im Fachbereich Elektrotechnik und Informatik an der Fachhochschule Lübeck tätig. Mein Forschungsschwerpunkt liegt im Bereich der Lokalisation, der Simulation der Funkausbreitung und der Simulation von drahtlosen Sensornetzwerken.

 

Wichtige Stationen

  • Duales Studium mit integrierter Lehre (StudiLe) Elektrotechnik
  • Bachelorstudium: Internationaler Studiengang Elektrotechnik mit Abschluss Bachelor of Science der Fachhochschule Lübeck und Bachelor of Science Electrical Engineering der  Milwaukee School of Engineering
  • Masterstudium: Angewandte Informationstechnik der Fachhochschule Lübeck
  • Wissenschaftlicher Mitarbeiter an der Fachhochschule Lübeck seit 2017

Aktivitäten in der Lehre

  • Übungen: Bachelor ISE - Principles of Communication I
  • Übungen: Bachelor ISE - Principles of Communication II

Projekte

Sonstiges


Artikel and Buchkapitel
[2017] UWB-based Single Reference Point Positioning System (Mathias Pelka, Swen Leugner, Marco Cimdins, Holger Schwegmann, Horst Hellbrück), In ITG-Fachbericht-Mobilkommunikation VDE VERLAG GmbH, 2017. [bib] [abstract]
Indoor positioning enables new applications, for instance monitoring of goods in smart factories. For such applications, indoor positioning requires cost-effective solutions with high accuracy. State-of-the-art positioning systems are expensive due to high infrastructure and maintenance costs. In this paper we suggest an accurate UWB-based single reference point positioning system using multiple antennas. We compare lateration and hyperbolic lateration as positioning methods and present efficient algorithms for UWB-based single reference point positioning systems. We present theoretical limits based on the Cramer-Rao lower bound and derive an error estimation as well as evaluation results. Our measurements indicate that decimeter accuracy is possible.
Konferenz Beiträge
[2018] RF-Based Safety-Critical Hybrid Localization (Mathias Pelka, Marco Cimdins, Horst Hellbrück), In The Ninth International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2018. [bib] [abstract]
In safety-critical environments, e.g. paint or machine shops, precise knowledge of positions of persons is important. If an emergency is detected, e.g. a fire or an intruder in the safety-critical area of heavy machinery, emergency shutdown procedures are activated. This requires fine-grained localization with a tag-based localization system, where the person carries a tag. Without a person carrying a tag, precise localization and detection is difficult. In this paper, we propose a RF-based hybrid localization system for safety-critical localization that consists of two major components: a tag-based and device-free subsystem. The device-free subsystem provides coarse-grained localization and monitors a gate area, serving as an entrance towards the safety-critical area where fine-grained localization is required. We propose an architecture of the system, discuss our setup and evaluate typical use cases. Our preliminary evaluation demonstrates that our system detects the correct state of the hybrid localization system with an accuracy of 90%.
[2018] Sundew: Design and Evaluation of a Model-based Device-free Localization System (Marco Cimdins, Mathias Pelka, Horst Hellbrück), In The Ninth International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2018. [bib] [abstract]
The state-of-the-art in device-free localization systems based on RF-measurements is fingerprinting. Fingerprinting requires reference measurements called fingerprints that are recorded during a training phase. Especially in device-free localization systems, recording of reference measurements for fingerprinting is a tedious, costly, and error-prone task. In this paper, we propose Sundew, a model-based device-free localization system that does not need fingerprinting in the sense of reference measurements but is able to calculate signal strength values at any position and compare it to actual measurements after a simple calibration phase. Sundew — as any device-free localization system — requires a metric for comparison of feature vectors. In this paper, we investigate the influence of nine different distance metrics on the positioning accuracy. Simulations and measurements show that our suggested model-based device-free localization system works best with the L 1 distance metric. Sundew estimates 90% of positions in a 2.5m x 2.5m grid correctly, independent of the orientation of the person in the target area.
[2016] Investigation of Anomaly-based Passive Localization with Received Signal Strength for IEEE 802.15.4 (Marco Cimdins, Mathias Pelka, Horst Hellbrück), In The Seventh International Conference on Indoor Positioning and Indoor Navigation, 2016. [bib] [abstract]
Localization has important applications, for instance intrusion detection and elderly care. Such applications benefit from Device-free passive (DfP) localization systems, which employ received signal strength measurements (RSSM) to detect and track entities that neither participate actively in the localization process nor emit signals actively. RSSMs include received signal strength indicator (RSSI), energy detection (ED) and link quality indicator (LQI) measurements. This paper compares different packet-based RSSMs for DfP localization and presents detection results of a DfP anomaly-based detection system employed by IEEE 802.15.4 compliant devices. Furthermore, we investigate techniques for anomaly detection with continuous RSSI measurements.
Workshop Beiträge
[2017] Evaluation of time-based ranging methods: Does the choice matter? (Mathias Pelka, Daniel Amann, Marco Cimdins, Horst Hellbrück), In 14th Workshop on Positioning, Navigation and Communication, 2017. [bib] [abstract]
Positioning is useful in a number of applications, for instance smart home, smart factory and health care applications. Time-based ranging methods for positioning are the state-of-the-art but require precise timestamping. Sophisticated ranging methods compensate sources of errors, for instance clock drift caused by a crystal or an asymmetrical measuring principle, to provide precise timestamping. So far, no comprehensive study of different time-based ranging methods using the same hardware and the same evaluation setup was carried out. Consequently, we discuss, implement and evaluate five time-based ranging methods, including Two-Way Ranging, Double Two-Way Ranging, Asymmetrical Double-Sided Two-Way Ranging, Symmetrical Double-Sided Two-Way Ranging and Burst Mode Symmetric Double-Sided Two-Way Ranging. We evaluate accuracy, precision, robustness and run time for the ranging methods and answer the question if the choice of the time-based ranging method matters.
[2017] Anomaly-based Device-free Localization with Particle Filtering (Marco Cimdins, Mathias Pelka, Horst Hellbrück), In Workshop on Dependable Wireless Communications and Localization for the IoT, 2017. [bib] [abstract]
In the Internet of Things (IoT), devices, e.g. sensors or actuators, transmit packets to transfer data. For the IoT localization information is crucial, as it provides additional context for the data. We envision that devices in the IoT know their position and on receipt of a packet, the received signal strength is measured. This measurement is used to build a device-free localization (DFL) system to improve the dependability of the IoT system. DFL systems are able to detect and track persons within a target area that neither wear a device nor participate actively in the process of localization. This work presents an anomaly-based DFL system that measures if a person affects the radio frequency (RF) propagation and determines the position with a particle filter. In our 65m 2 indoor testbed, we employ eight IEEE 802.15.4 compliant wireless transceivers and estimate the position of a person with a median localization error of 1.4m.
[2017] Modeling Received Signal Strength and Multipath Propagation Effects of Moving Persons (Marco Cimdins, Horst Hellbrück), In 14th Workshop on Positioning, Navigation and Communication, 2017. [bib] [abstract]
Device-free localization (DFL) systems detect and track persons without devices that participate in the localization process. A person moving within a target area affects the electromagnetic field that is measured by received signal strength (RSS) values. Consequently for DFL systems modeling of RSS is important and still an open issue. In this paper, we develop a simple model for prediction of RSS values in a setup with transmitter and receiver devices, a person and multipath propagation. We design and implement the model as a superposition of both, knife-edge diffraction to account for the change made by the person, and, propagation effects such as multipath propagation that result in reflection and path loss including the antenna characteristics. We evaluate our model in comparison with real measurements in various setups with and without multipath propagation. We achieve an accuracy that is close to our hardware limitations, which is the resolution of the measured RSS values of the receiver.
Sonstige Veröffentlichungen
[2018] Impact of the antenna orientation for distance estimation (Mathias Pelka, Marco Cimdins, Horst Hellbrück), Technical report, Technische Universität Braunschweig, 2018. [bib] [pdf] [abstract]
Indoor localization is important for a wide range of use cases including industrial, medical and scientific applications. The location accuracy is affected by the localization algorithm and the quality of the measurements as input for the algorithm. Many indoor localization systems employ ultra-wideband distance measurements, as they offer high accuracy and are cost effective. One of the methods for distance measurement is twoway ranging. This paper investigates the impact of the antenna orientation on the distance measurement based on symmetrical double-sided two-way ranging. We show that up to 0.25m of the measurement error is attributed to the orientation of the antennas. We provide explanations and suggest solutions to reduce the effect.
[2018] Comparison of Antenna Types and Frequency Bands for Radio-based Device-free Localization (Marco Cimdins, Horst Hellbrück), Technical report, Technische Universität Braunschweig, 2018. [bib] [pdf] [abstract]
Radio-based device-free localization systems measure effects on radio signals e.g. signal strength variations to locate objects or persons in a target area. Such systems detect and track persons that do not participate in the localization process. Models for calculating the radio signal propagation are key for the performance in device-free localization systems. Received signal strength (RSS) is simple to measure. However, it is susceptible to changes in the environment and multipath propagation. In this paper, we compare PCB antennas to a circularly polarized cloverleaf antenna and measurements in the 2.4 GHz with measurements to the 868MHz ISM band. We investigate especially if a circularly polarized cloverleaf antenna is resilient against multipath propagation. Our preliminary results demonstrate that our model is suitable to the 868MHz band and the use of the 868MHz band increases the area where a person affects the RSS. The use of a circularly polarized cloverleaf antenna does not help to avoid multipath propagation.
[2018] Proceedings of the 3rd KuVS/GI Expert Talk on Localization (Marco Cimdins, Horst Hellbrück), Technical report, Technische Universität Braunschweig, 2018. [bib] [pdf]
[2016] Investigation of Anomaly-based Passive Localization with IEEE 802.15.4 (Marco Cimdins, Mathias Pelka, Horst Hellbrück), Technical report, RWTH Aachen University, 2016. [bib] [pdf]
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