100 citations · 133 across the 18 of their papers we have counts for
6 papers · 1 filter
Bistatic OFDM-based Joint Radar-Communication: Synchronization, Data Communication and Sensing
Lucas Giroto de Oliveira, David Brunner, Axel Diewald +4
This article introduces a bistatic joint radar-communication (RadCom) system based on orthogonal frequency-division multiplexing (OFDM). In this context, the adopted OFDM frame str…
Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation
Jonas Ney, Vincent Lauinger, Laurent Schmalen +1
In recent years, communication engineers put strong emphasis on artificial neural network (ANN)-based algorithms with the aim of increasing the flexibility and autonomy of the syst…
Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels
Andrej Rode, Laurent Schmalen
We show that separating the in-phase and quadrature component in optimized, machine-learning based demappers of optical communications systems with geometric constellation shaping…
Blind and Channel-agnostic Equalization Using Adversarial Networks
Vincent Lauinger, Manuel Hoffmann, Jonas Ney +2
Due to the rapid development of autonomous driving, the Internet of Things and streaming services, modern communication systems have to cope with varying channel conditions and a s…
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications
Boris Karanov, Mathieu Chagnon, Vahid Aref +4
We investigate methods for experimental performance enhancement of auto-encoders based on a recurrent neural network (RNN) for communication over dispersive nonlinear channels. In…
Optical Fiber Communication Systems Based on End-to-End Deep Learning
Boris Karanov, Mathieu Chagnon, Vahid Aref +3
We investigate end-to-end optimized optical transmission systems based on feedforward or bidirectional recurrent neural networks (BRNN) and deep learning. In particular, we report…