5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion
- Title
- 5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion
- Author
- 김선우
- Keywords
- 5G millimeter-wave; cooperative positioning and mapping; map fusion; probability hypothesis density; vehicular networks
- Issue Date
- 2020-06
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v. 19, no. 6, page. 3782-3795
- Abstract
- 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-based positioning suffers from multipath signals generated by different types of objects in the physical environment. Multipath can be turned into a benefit, by building up a radio map (comprising the number of objects, object type, and object state) and using this map to exploit all available signal paths for positioning. We propose a new method for cooperative vehicle positioning and mapping of the radio environment, comprising a multiple-model probability hypothesis density filter and a map fusion routine, which is able to consider different types of objects and different fields of views. Simulation results demonstrate the performance of the proposed method.
- URI
- https://ieeexplore.ieee.org/document/9032328https://repository.hanyang.ac.kr/handle/20.500.11754/168915
- ISSN
- 1536-1276; 1558-2248
- DOI
- 10.1109/TWC.2020.2978479
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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