5 papers · 1 filter
OFDM-based Waveforms for Joint Sensing and Communications Robust to Frequency Selective IQ Imbalance
Oliver Lang, Christian Hofbauer, Moritz Tockner +3
Orthogonal frequency-division multiplexing (OFDM) is a promising waveform candidate for future joint sensing and communication systems. It is well known that the OFDM waveform is v…
Bi-Linear Homogeneity Enforced Calibration for Pipelined ADCs
Matthias Wagner, Oliver Lang, Esmaeil Kavousi Ghafi +3
Pipelined analog-to-digital converters (ADCs) are key enablers in many state-of-the-art signal processing systems with high sampling rates. In addition to high sampling rates, such…
SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers
Stefan Baumgartner, Oliver Lang, Mario Huemer
In recent years data-driven machine learning approaches have been extensively studied to replace or enhance traditionally model-based processing in digital communication systems. I…
Complex-valued Adaptive System Identification via Low-Rank Tensor Decomposition
Oliver Ploder, Christina Auer, Oliver Lang +2
Machine learning (ML) and tensor-based methods have been of significant interest for the scientific community for the last few decades. In a previous work we presented a novel tens…
Doppler-Division Multiplexing for MIMO OFDM Joint Sensing and Communications
Oliver Lang, Christian Hofbauer, Reinhard Feger +1
A promising waveform candidate for future joint sensing and communication systems is orthogonal frequencydivision multiplexing (OFDM). For such systems, supporting multiple transmi…