789 citations · 4.2k across the 175 of their papers we have counts for
18 papers · 1 filter
Bayesian Linear Regression on Deep Representations
John Moberg, Lennart Svensson, Juliano Pinto +1
A simple approach to obtaining uncertainty-aware neural networks for regression is to do Bayesian linear regression (BLR) on the representation from the last hidden layer. Recent w…
Radio Localization and Mapping with Reconfigurable Intelligent Surfaces
Henk Wymeersch, Jiguang He, Benoît Denis +2
5G radio at millimeter wave (mmWave) and beyond 5G concepts at 0.1-1 THz can exploit angle and delay measurements for localization, by the virtue of increased bandwidth and large a…
5G Positioning and Mapping with Diffuse Multipath
Fuxi Wen, Josef Kulmer, Klaus Witrisal +1
5G mmWave communication is useful for positioning due to the geometric connection between the propagation channel and the propagation environment. Channel estimation methods can ex…
Localization Error Bounds For 5G mmWave Systems Under I/Q Imbalance: An Extended Version
Fariba Ghaseminajm, Zohair Abu-Shaban, Salama S. Ikki +2
Location awareness is expected to play a significant role in 5G millimeter-wave (mmWave) communication systems. One of the basic elements of these systems is quadrature amplitude m…
Adaptive Beamforming Design for mmWave RIS-Aided Joint Localization and Communication
Jiguang He, Henk Wymeersch, Tachporn Sanguanpuak +2
The concept of reconfigurable intelligent surface (RIS) has been proposed to change the propagation of electromagnetic waves, e.g., reflection, diffraction, and refraction. To acco…
Application of the Free Energy Principle to Estimation and Control
Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch
Based on a generative model (GM) and beliefs over hidden states, the free energy principle (FEP) enables an agent to sense and act by minimizing a free energy bound on Bayesian sur…
Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems
Jiguang He, Henk Wymeersch, Long Kong +2
Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) system for the fifth generation (5G) cellular communications can also enable single-anchor positioning and object tra…
Radar Interference Mitigation for Automated Driving
Canan Aydogdu, Gisela K. Carvajal, Olof Eriksson +7
Autonomous driving relies on a variety of sensors, especially on radars, which have unique robustness under heavy rain/fog/snow and poor light conditions. With the rapid increase o…
5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion
Hyowon Kim, Karl Granström, Lin Gao +3
5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station and vehicles are equipped with large antenna arrays. However, radio-…
RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation
Canan Aydogdu, Musa Furkan Keskin, Nil Garcia +2
In the automotive sector, both radars and wireless communication are susceptible to interference. However, combining the radar and communication systems, i.e., radio frequency (RF)…
Cooperative Localization with Angular Measurements and Posterior Linearization
Yibo Wu, Bile Peng, Henk Wymeersch +4
The application of cooperative localization in vehicular networks is attractive to improve accuracy and coverage. Conventional distance measurements between vehicles are limited by…
Location-aware Beam Alignment for mmWave Communications
Orikumhi Igbafe, Jeongwan Kang, Henk Wymeersch +1
Beam alignment is required in millimeter wave communication to ensure high data rate transmission. However, with narrow beamwidth in massive MIMO, beam alignment could be computati…
A Fisher Information Analysis of Joint Localization and Synchronization in Near Field
Henk Wymeersch
In 5G communication, arrays are used for both positioning and communication. As the arrays become larger, the far-field assumption is increasingly being violated and curvature of t…
5G Downlink Multi-Beam Signal Design for LOS Positioning
Anastasios Kakkavas, Gonzalo Seco-Granados, Henk Wymeersch +3
In this work, we study optimal transmit strategies for minimizing the positioning error bound in a line-of-sight scenario, under different levels of prior knowledge of the channel…
Learning Physical-Layer Communication with Quantized Feedback
Jinxiang Song, Bile Peng, Christian Häger +2
Data-driven optimization of transmitters and receivers can reveal new modulation and detection schemes and enable physical-layer communication over unknown channels. Previous work…
Massive MIMO is a Reality -- What is Next? Five Promising Research Directions for Antenna Arrays
Emil Björnson, Luca Sanguinetti, Henk Wymeersch +2
Massive MIMO (multiple-input multiple-output) is no longer a "wild" or "promising" concept for future cellular networks - in 2018 it became a reality. Base stations (BSs) with 64 f…
5G mmWave Downlink Vehicular Positioning
Henk Wymeersch, Nil Garcia, Hyowon Kim +4
5G new radio (NR) provides new opportunities for accurate positioning from a single reference station: large bandwidth combined with multiple antennas, at both the base station and…
Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking
Markus Fröhle, Karl Granström, Henk Wymeersch
A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using multiple high-resolution sensors. Independent filters estimate the vehicles' presence, s…