no code implementations • 24 Apr 2024 • Benjamin J. B. Deutschmann, Christian Nelson, Mikael Henriksson, Gian Marti, Alva Kosasih, Nuutti Tervo, Erik Leitinger, Fredrik Tufvesson
Distributed multiple-input multiple-output (D-MIMO) is a promising technology for simultaneous communication and positioning.
no code implementations • 22 Apr 2024 • Lukas Wielandner, Alexander Venus, Thomas Wilding, Klaus Witrisal, Erik Leitinger
Multipath-based simultaneous localization and mapping (MP-SLAM) is a well established approach to obtain position information of transmitters and receivers as well as information regarding the propagation environments in future multiple input multiple output (MIMO) communication systems.
no code implementations • 24 Mar 2024 • Hong Zhu, Alexander Venus, Erik Leitinger, Stefan Tertinek, Klaus Witrisal
Then, a joint tracking algorithm that utilizes both active and passive measurements is developed for the extended object.
no code implementations • 15 Mar 2024 • Xuhong LI, Xuesong Cai, Erik Leitinger, Fredrik Tufvesson
We develop a Bayesian model for sequential detection and estimation of interacting MF model parameters, MF states and mobile agent's state including position and orientation.
no code implementations • 24 Dec 2023 • Mingchao Liang, Erik Leitinger, Florian Meyer
This factor graph is the starting point for the development of an efficient belief propagation (BP) method for multipath-based SLAM that directly uses received radio signals as measurements.
no code implementations • 4 Oct 2023 • Alexander Venus, Erik Leitinger, Stefan Tertinek, Florian Meyer, Klaus Witrisal
The delay biases of the MPCs capture the geometric features of the propagation environment with respect to the mobile agent.
no code implementations • 30 Aug 2023 • Alexander Venus, Erik Leitinger, Stefan Tertinek, Klaus Witrisal
This paper presents a neural-enhanced probabilistic model and corresponding factor graph-based sum-product algorithm for robust localization and tracking in multipath-prone environments.
no code implementations • 3 Aug 2023 • Stefan Grebien, Erik Leitinger, Klaus Witrisal, Bernard H. Fleury
Specifically, the algorithm super-resolves the specular components in the delay-angle-of-arrival domain and estimates the parameters of a parametric model of the delay-angle power spectrum characterizing the diffuse component.
1 code implementation • 1 Jun 2023 • Jakob Möderl, Franz Pernkopf, Klaus Witrisal, Erik Leitinger
We present a fast update rule for variational block-sparse Bayesian learning (SBL) methods.
no code implementations • 12 Apr 2023 • Lukas Wielandner, Alexander Venus, Thomas Wilding, Erik Leitinger
In this paper, we introduce a Bayesian particle-based sum-product algorithm (SPA) for multipath-based SLAM that can cope with multiple-measurements being associated to a single VA.
Simultaneous Localization and Mapping Single Particle Analysis
no code implementations • 6 Mar 2023 • Jakob Möderl, Franz Pernkopf, Klaus Witrisal, Erik Leitinger
The spectral lines in each group are associated with a group parameter common to all spectral lines within the group.
no code implementations • 7 Feb 2023 • Alessio Fascista, Benjamin J. B. Deutschmann, Musa Furkan Keskin, Thomas Wilding, Angelo Coluccia, Klaus Witrisal, Erik Leitinger, Gonzalo Seco-Granados, Henk Wymeersch
Radio stripes (RSs) is an emerging technology in beyond 5G and 6G wireless networks to support the deployment of cell-free architectures.
no code implementations • 3 Jan 2023 • Lukas Wielandner, Erik Leitinger, Florian Meyer, Klaus Witrisal
However, particle-based BP algorithms are known to suffer from particle degeneracy in large and dense networks of mobile agents with high-dimensional states.
no code implementations • 16 Nov 2022 • Erik Leitinger, Alexander Venus, Bryan Teague, Florian Meyer
A key aspect of the proposed estimation method based on MVAs is to check the availability of singlebounce and double-bounce propagation paths at a specific agent position by means of ray-launching.
Indoor Localization Simultaneous Localization and Mapping +1
no code implementations • 14 Oct 2022 • Jakob Möderl, Erik Leitinger, Franz Pernkopf, Klaus Witrisal
We present a variational message passing (VMP) approach to detect the presence of a person based on their respiratory chest motion using multistatic ultra-wideband (UWB) radar.
no code implementations • 18 Jul 2022 • Alexander Venus, Erik Leitinger, Stefan Tertinek, Klaus Witrisal
This paper presents a factor graph formulation and particle-based sum-product algorithm (SPA) for robust sequential localization in multipath-prone environments.
no code implementations • 20 Jun 2022 • Erik Leitinger, Bryan Teague, Wenyu Zhang, Mingchao Liang, Florian Meyer
A promising approach to address this problem is to exchange radio signals between mobile agents and static physical anchors (PAs) that bounce off flat surfaces in the indoor environment.
no code implementations • 19 Oct 2021 • Thomas Wilding, Erik Leitinger, Klaus Witrisal
This paper deals with multipath-based positioning and tracking in off-body channels.
no code implementations • 25 Mar 2021 • Thomas Wilding, Erik Leitinger, Ulrich Muehlmann, Klaus Witrisal
By comparing measurements of the antenna attached directly to the user with measurements for the antenna without the user nearby, we show the shadowing and scattering effects of the human body and the antenna.
no code implementations • 24 Mar 2021 • Lukas Wielandner, Erik Leitinger, Klaus Witrisal
In this paper, we propose a factor-graph-based cooperative positioning algorithm that uses RSS radio measurements and accounts for the directivity of the antennas.
no code implementations • 23 Mar 2021 • Erik Leitinger, Stefan Grebien, Klaus Witrisal
In this paper, we present a Bayesian multipath-based simultaneous localization and mapping (SLAM) algorithm that continuously adapts interacting multiple models (IMM) parameters to describe the mobile agent state dynamics.
no code implementations • 21 Aug 2017 • Joao Vieira, Erik Leitinger, Muris Sarajlic, Xuhong Li, Fredrik Tufvesson
This paper provides an initial investigation on the application of convolutional neural networks (CNNs) for fingerprint-based positioning using measured massive MIMO channels.