Multipath-Based SLAM with Cooperation and Map Fusion in MIMO Systems
Multipath-based simultaneous localization and map-ping (MP-SLAM) is a promising approach in wireless networks for obtaining position information of transmitters and receivers as well as information on the propagation environment. MP-SLAM models specular reflections of radio signals at flat surfaces as virtual anchors (VAs), the mirror images of base stations (BSs). Conventional methods for MP-SLAM consider a single mobile terminal (MT) which has to be localized. The availability of additional MTs paves the way for utilizing additional information in the scenario. Specifically enabling MTs to exchange information allows for data fusion over different observations of VAs, made by different MTs, and cooperative localization. Utilizing this additional information enables more robust mapping and higher localization accuracy.
Authors
- Erik Leitinger (ORCID: https://orcid.org/0000-0003-1048-4849)
- Alexander Venus (ORCID: https://orcid.org/0000-0002-4315-139X)
- Lukas Wielandner (ORCID: https://orcid.org/0000-0003-2052-5050)
- Mingchao Liang (ORCID: https://orcid.org/0000-0001-8197-2378)
- Klaus Witrisal (ORCID: https://orcid.org/0000-0002-1056-2133)
- Florian Meyer
Institutions
- University of California San Diego (US)
- Graz University of Technology (AT)
Publication Details
- Published
- 2024-10-27
- DOI
- https://doi.org/10.1109/ieeeconf60004.2024.10942778
- Citations
- 4
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.85