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Found 7 papers, 0 papers with code
MIMO Multipath-based SLAM for Non-Ideal Reflective Surfaces
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.
Fusion of Active and Passive Measurements for Robust and Scalable Positioning
Then, a joint tracking algorithm that utilizes both active and passive measurements is developed for the extended object.
Graph-based Simultaneous Localization and Bias Tracking
The delay biases of the MPCs capture the geometric features of the propagation environment with respect to the mobile agent.
A Neural-enhanced Factor Graph-based Algorithm for Robust Positioning in Obstructed LOS Situations
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.
Multipath-based SLAM for Non-Ideal Reflective Surfaces Exploiting Multiple-Measurement Data Association
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
Data Fusion for Multipath-Based SLAM: Combining Information from Multiple Propagation Paths
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
A Graph-based Algorithm for Robust Sequential Localization Exploiting Multipath for Obstructed-LOS-Bias Mitigation
This paper presents a factor graph formulation and particle-based sum-product algorithm (SPA) for robust sequential localization in multipath-prone environments.
