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20132026
most citedA Belief Propagation Algorithm for Multipath-Based SLAM

249 citations · 374 across the 50 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

eess.SP2026

Scalable Extended-Target Handover in Distributed Integrated Sensing and Communication

Liping Bai, Yu Ge, Ali Al Khansa +3

Distributed integrated sensing and communication (DISAC) networks require multi-target tracking methods whose per-node computation and inter-base-station communication remain bound…

eess.SP2026

Coherent Direct D-MIMO Localization: Analysis of Coherence Levels

Benjamin J. B. Deutschmann, Lukas D'Angelo, Erik Leitinger +1

Distributed multiple-input multiple-output (D-MIMO) offers favorable geometry for localization and sensing, with its greatest potential arising from joint coherent processing acros…

eess.SP2026

Integrated Real-Time Testbed for Wideband RFID and Wireless Power Transfer

Lukas D'Angelo, Daniel Pöhl, Benjamin Deutschmann +2

This contribution presents an experimental integrated real-time 8 x 8 distributed MIMO (D-MIMO) testbed for wideband backscatter communication (BSC) and wireless power transfer (WP…

eess.SP2026

A Variational Message Passing Framework for Multi-Sensor Multi-Object Tracking using Raw Radar Signals

Anders Malthe Westerkam, Jakob Möderl, Erik Leitinger +1

The growing proliferation of unmanned aerial vehicles (UAVs) poses major challenges for reliable airspace surveillance, as drones are typically small, have low radar cross-sections…

eess.SP2026

Soft-Coherent Direct Multipath SLAM

Benjamin J. B. Deutschmann, Klaus Witrisal, Erik Leitinger

Challenging indoor and urban environments with severe multipath propagation and obstructed line-of-sight degrade classical radio positioning. Multipath-based simultaneous localizat…

eess.SP2026

AI-enhanced Direct SLAM: A Principled Approach to Unsupervised Learning in Bayesian Inference

Alexander Venus, Benjamin Deutschmann, Alexander Fuchs +2

In this paper, we propose an artificial intelligence (AI)-enhanced hybrid simultaneous localization and mapping (SLAM) method that performs Bayesian inference directly on raw radio…

eess.SP2026

Probabilistic Occupancy Grid for Radio-Based SLAM

Xuhong Li, Erik Leitinger, Fredrik Tufvesson +1

Sensing is an integral part of 6G and beyond systems, providing exceptional environmental perception along with communication. Radio frequency (RF)-based sensing often relies on si…

eess.SP2026

Simultaneous Source Separation, Synchronization, Localization and Mapping for 6G Systems

Alexander Venus, Erik Leitinger, Klaus Witrisal

Multipath-based simultaneous localization and mapping (MP-SLAM) is a promising approach for future 6G networks to jointly estimate the positions of transmitters and receivers toget…