5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion Article Swipe
Hyowon Kim
,
Karl Granström
,
Lin Gao
,
Giorgio Battistelli
,
Sunwoo Kim
,
Henk Wymeersch
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1908.09806
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1908.09806
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.
Related Topics
Concepts
Multipath propagation
Computer science
Filter (signal processing)
Antenna (radio)
Object (grammar)
Real-time computing
Sensor fusion
Exploit
Positioning system
Computer vision
Artificial intelligence
Telecommunications
Engineering
Node (physics)
Computer security
Channel (broadcasting)
Structural engineering
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1908.09806
- https://arxiv.org/pdf/1908.09806
- OA Status
- green
- Cited By
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4309494413
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4309494413Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1908.09806Digital Object Identifier
- Title
-
5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map FusionWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-08-26Full publication date if available
- Authors
-
Hyowon Kim, Karl Granström, Lin Gao, Giorgio Battistelli, Sunwoo Kim, Henk WymeerschList of authors in order
- Landing page
-
https://arxiv.org/abs/1908.09806Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1908.09806Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/1908.09806Direct OA link when available
- Concepts
-
Multipath propagation, Computer science, Filter (signal processing), Antenna (radio), Object (grammar), Real-time computing, Sensor fusion, Exploit, Positioning system, Computer vision, Artificial intelligence, Telecommunications, Engineering, Node (physics), Computer security, Channel (broadcasting), Structural engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 3, 2022: 4, 2021: 7Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Multipath | 41 |
| abstract_inverted_index.available | 71 |
| abstract_inverted_index.different | 33, 108, 113 |
| abstract_inverted_index.generated | 31 |
| abstract_inverted_index.multipath | 29 |
| abstract_inverted_index.vehicular | 10 |
| abstract_inverted_index.Simulation | 117 |
| abstract_inverted_index.comprising | 91 |
| abstract_inverted_index.hypothesis | 95 |
| abstract_inverted_index.millimeter | 1 |
| abstract_inverted_index.(comprising | 54 |
| abstract_inverted_index.cooperative | 82 |
| abstract_inverted_index.demonstrate | 119 |
| abstract_inverted_index.performance | 121 |
| abstract_inverted_index.positioning | 8, 26, 84 |
| abstract_inverted_index.probability | 94 |
| abstract_inverted_index.radio-based | 25 |
| abstract_inverted_index.environment, | 90 |
| abstract_inverted_index.environment. | 40 |
| abstract_inverted_index.positioning. | 75 |
| abstract_inverted_index.multiple-model | 93 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |