Mitarbeiter

M. Sc. Jonas Fuchs

Kontakt

  • E-Mail:
  • Telefon: 09131/85-27190
  • Fax: 09131/85-28730
  • Raum: 01.178 C
  • Wetterkreuz 15
    91058 Erlangen

Über Jonas Fuchs

Lebenslauf

Jonas Fuchs schloss sein Bachelorstudium im Fach Elektrotechnik-Elektronik-Informationstechnik (EEI) an der Friedrich-Alexander-Universität Erlangen-Nürnberg im April 2016 ab. Das anschließende Masterstudium im Fach EEI mit dem Schwerpunkt Informationstechnik beendete er im Februar 2018 erfolgreich. Seit Juni 2018 ist er als wissenschaftlicher Mitarbeiter im Team Circuits, Systems und Hardware Test (CST) am Lehrstuhl für Technische Elektronik beschäftigt.

Arbeitsgebiete

  • Digitale Radar-Signalverarbeitung und Machine-Learning Algorithmen

Abschlussarbeiten

Abschlussarbeiten StudOn

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Preise & Auszeichnungen

  • J. Fuchs, ARGUS Award 2018, HENSOLDT Sensors GmbH, 2018. [Bibtex]
    @prize{fuchs_prize_2018,
    abstract = {Masterarbeit: Implementierung und Evaluierung von Verfahren zur Winkelschätzung mittels Neuronaler Netze für FMCW-Radarsysteme},
    author = {Fuchs, Jonas},
    booktitle = {HENSOLDT Sensors GmbH},
    cris = {fuchs_prize_2018},
    year = {2018},
    title = {ARGUS Award 2018},
    type = {20773-Kleiner Preis},
    }
  • J. Fuchs, SEMIKRON Student Award, SEMIKRON International GmbH, 2013. [Bibtex]
    @prize{fuchs_prize_2013,
    author = {Fuchs, Jonas},
    booktitle = {SEMIKRON International GmbH},
    cris = {fuchs_prize_2013},
    year = {2013},
    month = {07},
    day = {12},
    title = {SEMIKRON Student Award},
    type = {20773-Kleiner Preis},
    }

COPYRIGHT NOTICE: Copyright and all rights of the material above are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by the appropriate copyright. The material may not be reposted without the explicit permission of the copyright holder.

COPYRIGHT NOTICE FOR IEEE PUBLICATIONS: © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

COPYRIGHT NOTICE FOR EUMA PUBLICATIONS: © EUMA. Personal use of this material is permitted. Permission from European Microwave Association(EUMA) must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publikationen

2019

  • J. Fuchs, R. Weigel, and M. Gardill, "Model Order Estimation using a Multi-Layer Perceptron for Direction-of-Arrival Estimation in Automotive Radar Sensors" in WiSNet Wireless Sensors and Sensor Networks, Orlando, Florida, USA, 2019 (to be published). [Bibtex]
    @inproceedings{fuchs2019,
    author = {Fuchs, Jonas and Weigel, Robert and Gardill, Markus},
    booktitle = {WiSNet Wireless Sensors and Sensor Networks},
    cris = {https://cris.fau.de/converis/publicweb/publication/203918515},
    year = {2019},
    month = {01},
    day = {20},
    eventdate = {2019-01-20/2019-01-23},
    faupublication = {yes},
    note = {unpublished},
    peerreviewed = {unknown},
    title = {Model Order Estimation using a Multi-Layer Perceptron for Direction-of-Arrival Estimation in Automotive Radar Sensors},
    type = {Konferenzschrift},
    venue = {Orlando, Florida, USA},
    }

2018

  • M. Gardill, J. Fuchs, C. Frank, and R. Weigel, "A Multi-Layer Perceptron Applied to Number of Target Indication for Direction-of-Arrival Estimation in Automotive Radar Sensors" in IEEE International Workshop on Machine Learning for Signal Processing 2018, Aalborg, Denmark, 2018. [Bibtex]
    @inproceedings{gardill2018,
    author = {Gardill, Markus and Fuchs, Jonas and Frank, Christian and Weigel, Robert},
    language = {English},
    booktitle = {IEEE International Workshop on Machine Learning for Signal Processing 2018},
    cris = {https://cris.fau.de/converis/publicweb/publication/200736205},
    year = {2018},
    month = {10},
    day = {17},
    eventdate = {2018-09-17/2018-09-20},
    faupublication = {yes},
    keywords = {Automotive Radar; Direction-of-Arrival Estimation; Neural Network; Multi-Layer Perceptron},
    peerreviewed = {Yes},
    title = {A Multi-Layer Perceptron Applied to Number of Target Indication for Direction-of-Arrival Estimation in Automotive Radar Sensors},
    type = {Konferenzschrift},
    venue = {Aalborg, Denmark},
    }
  • C. Will, K. Shi, S. Schellenberger, T. Steigleder, F. Michler, J. Fuchs, R. Weigel, C. Ostgathe, and A. Koelpin, "Radar-Based Heart Sound Detection", Scientific Reports, 2018. [DOI] [Bibtex]
    @article{will2018,
    abstract = {This paper introduces heart sound detection by radar systems, which enables touch-free and continuous monitoring of heart sounds. The proposed measurement principle entails two enhancements in modern vital sign monitoring. First, common touch-based auscultation with a phonocardiograph can be simplified by using biomedical radar systems. Second, detecting heart sounds offers a further feasibility in radar-based heartbeat monitoring. To analyse the performance of the proposed measurement principle, 9930 seconds of eleven persons-under-tests' vital signs were acquired and stored in a database using multiple, synchronised sensors: a continuous wave radar system, a phonocardiograph (PCG), an electrocardiograph (ECG), and a temperature-based respiration sensor. A hidden semi-Markov model is utilised to detect the heart sounds in the phonocardiograph and radar data and additionally, an advanced template matching (ATM) algorithm is used for state-of-the-art radar-based heartbeat detection. The feasibility of the proposed measurement principle is shown by a morphology analysis between the data acquired by radar and PCG for the dominant heart sounds S1 and S2: The correlation is 82.97 ± 11.15% for 5274 used occurrences of S1 and 80.72 ± 12.16% for 5277 used occurrences of S2. The performance of the proposed detection method is evaluated by comparing the F-scores for radar and PCG-based heart sound detection with ECG as reference: Achieving an F1 value of 92.22 ± 2.07%, the radar system approximates the score of 94.15 ± 1.61% for the PCG. The accuracy regarding the detection timing of heartbeat occurrences is analysed by means of the root-mean-square error: In comparison to the ATM algorithm (144.9 ms) and the PCG-based variant (59.4 ms), the proposed method has the lowest error value (44.2 ms). Based on these results, utilising the detected heart sounds considerably improves radar-based heartbeat monitoring, while the achieved performance is also competitive to phonocardiography.
    }, author = {Will, Christoph and Shi, Kilin and Schellenberger, Sven and Steigleder, Tobias and Michler, Fabian and Fuchs, Jonas and Weigel, Robert and Ostgathe, Christoph and Koelpin, Alexander}, cris = {https://cris.fau.de/converis/publicweb/publication/202373734}, year = {2018}, month = {07}, day = {26}, doi = {10.1038/S41598-018-29984-5}, faupublication = {yes}, issn = {2045-2322}, journaltitle = {Scientific Reports}, peerreviewed = {Yes}, title = {Radar-Based Heart Sound Detection}, type = {Report}, url = {https://www.nature.com/articles/s41598-018-29984-5}, }

2017

  • C. Will, M. Sporer, N. Sebald, J. Fuchs, R. Weigel, and A. Koelpin, "Radarbasiertes Structural Health Monitoring der Rotorblätter von Windkaftanlagen" in Kleinheubacher Tagung, Miltenberg, Germany, 2017. [Bibtex]
    @inproceedings{will2017b,
    author = {Will, Christoph and Sporer, Michael and Sebald, Nina and Fuchs, Jonas and Weigel, Robert and Koelpin, Alexander},
    publisher = {URSI},
    booktitle = {Kleinheubacher Tagung},
    cris = {https://cris.fau.de/converis/publicweb/publication/123490664},
    year = {2017},
    month = {09},
    day = {25},
    eventdate = {2017-09-25/2017-09-27},
    faupublication = {yes},
    peerreviewed = {Yes},
    title = {Radarbasiertes Structural Health Monitoring der Rotorblätter von Windkaftanlagen},
    type = {Abstract zum Vortrag},
    venue = {Miltenberg, Germany},
    }

COPYRIGHT NOTICE: Copyright and all rights of the material above are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by the appropriate copyright. The material may not be reposted without the explicit permission of the copyright holder.

COPYRIGHT NOTICE FOR IEEE PUBLICATIONS: © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

COPYRIGHT NOTICE FOR EUMA PUBLICATIONS: © EUMA. Personal use of this material is permitted. Permission from European Microwave Association(EUMA) must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.