Stefan Baumgartner, Oliver Lang, Mario Huemer,
"Neural Network Based Single-Carrier Frequency Domain Equalization"
: Computer Aided Systems Theory - EUROCAST 2022, Lecture Notes in Computer Science (LNCS), Serie Lecture Notes in Computer Science (LNCS), Vol. 13789, Springer Nature Switzerland, Seite(n) 295-302, 2023, ISBN: 978-3-031-25312-6
Original Titel:
Neural Network Based Single-Carrier Frequency Domain Equalization
Sprache des Titels:
Englisch
Original Buchtitel:
Computer Aided Systems Theory - EUROCAST 2022, Lecture Notes in Computer Science (LNCS)
Original Kurzfassung:
The task of equalization on the receiver side of a wireless communication system is typically accomplished with model-based estimation methods. However, the utilization of data-driven approaches, e.g., neural networks (NNs), for equalization is in focus of current research. In this work, we investigate two different NNs for single-carrier frequency domain equalization. We elaborate on how existing model knowledge can be incorporated into NNs, we introduce a data normalization scheme required for the regarded NNs, and we compare these data-driven methods with model-based approaches concerning performance and complexity.
Forschungs-