Compressive sensing and deep learning algorithms for interference mitigation in automotive radar systems
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Bochum, Ruhr-Universität Bochum, Dissertation, 2023
- Klassifikation
-
Elektrotechnik, Elektronik
- Schlagwort
-
Interferenzstörung
Störunterdrückung
Signaldetektion
Frequenzmodulation
Radarsensor
Signalverarbeitung
Signalverarbeitung
Radar
Interferenz
Deep learning
Komprimierte Abtastung
- Ereignis
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Veröffentlichung
- (wo)
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Bochum
- (wer)
-
Ruhr-Universität Bochum
- (wann)
-
2023
- Urheber
-
Chen, Shengyi
- Beteiligte Personen und Organisationen
-
Martin, Rainer
Pohl, Nils
Fakultät für Elektrotechnik und Informationstechnik
- URN
-
urn:nbn:de:hbz:294-107538
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:52 MEZ
Datenpartner
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Beteiligte
- Chen, Shengyi
- Martin, Rainer
- Pohl, Nils
- Fakultät für Elektrotechnik und Informationstechnik
- Ruhr-Universität Bochum
Entstanden
- 2023
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