activity
20232026
most citedAutoencoder-based Joint Communication and Sensing of Multiple Targets

3 citations · 6 across the 11 of their papers we have counts for

collaborators

12 papers

eess.SP2026

Precoding Design for Multi-User MIMO Joint Communications and Sensing

Charlotte Muth, Shrinivas Chimmalgi, Laurent Schmalen

We investigate precoding for multi-user (MU) multiple-input multiple-output (MIMO) joint communications and sensing (JCAS) systems, taking into account the potential interference b…

eess.SP2025★ 1 cited

Neural Network-Based Single-Carrier Joint Communication and Sensing: Loss Design, Constellation Shaping and Precoding

Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria +1

We investigate the impact of higher-order modulation formats on the sensing performance of single-carrier joint communication and sensing (JCAS) systems. Several separate component…

eess.SP2025

Constellation Shaping for OFDM-ISAC Systems: From Theoretical Bounds to Practical Implementation

Benedikt Geiger, Fan Liu, Shihang Lu +4

Integrated sensing and communications (ISAC) promises new use cases for mobile communication systems by reusing the communication signal for radar-like sensing. However, sensing an…

eess.SP2025

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective

Victor Shatov, Steffen Schieler, Charlotte Muth +11

The sixth-generation wireless communications (6G) is often labeled as "connected intelligence". Radio sensing, aligned with machine learning (ML) and artificial intelligence (AI),…

cs.LG2025

Uncertainty Propagation in the Fast Fourier Transform

Luca Schmid, Charlotte Muth, Laurent Schmalen

We address the problem of uncertainty propagation in the discrete Fourier transform by modeling the fast Fourier transform as a factor graph. Building on this representation, we pr…

eess.SP2025

On the Sensing Performance of FMCW-based Integrated Sensing and Communications with Arbitrary Constellations

Daniel Gil Gaviria, Benedikt Geiger, Charlotte Muth +1

Integrated sensing and communications (ISAC) is expected to play a major role in numerous future applications, e.g., smart cities. Leveraging native radar signals like the frequenc…

eess.SP2025

Integrated Long-range Sensing and Communications in Multi Target Scenarios using CP-OFDM

Benedikt Geiger, Silvio Mandelli, Marcus Henninger +3

6G communication systems promise to deliver sensing capabilities by utilizing the orthogonal frequency division multiplexing (OFDM) communication signal for sensing. However, the c…

eess.SP2024

Improved Estimation Accuracy in OFDM-based Joint Communication and Sensing through Kalman Tracking and Interpolation

Charlotte Muth, Leon Schmidt, Shrinivas Chimmalgi +1

We investigate a monostatic orthogonal frequency-division multiplexing (OFDM)-based joint communication and sensing (JCAS) system for object tracking. Our setup consists of a trans…

eess.SP2024

Bistatic OFDM-based ISAC with Over-the-Air Synchronization: System Concept and Performance Analysis

David Brunner, Lucas Giroto de Oliveira, Charlotte Muth +8

Integrated sensing and communication (ISAC) has been defined as one goal for 6G mobile communication systems. In this context, this article introduces a bistatic ISAC system based…

eess.SP2024

Loss Design for Single-carrier Joint Communication and Neural Network-based Sensing

Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria +1

We evaluate the influence of multi-snapshot sensing and varying signal-to-noise ratio (SNR) on the overall performance of neural network (NN)-based joint communication and sensing…

eess.SP2023★ 2 cited

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…

eess.SP2023★ 3 cited

Autoencoder-based Joint Communication and Sensing of Multiple Targets

Charlotte Muth, Laurent Schmalen

We investigate the potential of autoencoders (AEs) for building a joint communication and sensing (JCAS) system that enables communication with one user while detecting multiple ra…