A Layout Method of Space-Based Pseudolite System Based on GDOP Geometry Article Swipe
Xin Yang
,
Feixue Wang
,
Wenxiang Liu
,
Wei Xiao
,
Xiaozhou Ye
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.23919/cje.2022.00.013
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.23919/cje.2022.00.013
The pseudolite system can be used to provide positioning and timing service for users in a specific area. In order to provide better positioning and timing service, a good geometric configuration needs to be formed for the pseudolite system. For the problem of pseudolite system deployment, the average and mean square values of geometric dilution of precision (GDOP) are optimized in this paper for users in a target area. We proposed a space-based pseudolite deployment method based on GDOP geometry, starting from the minimum GDOP value for users in the central area. From the simulation results, it can be seen that, compared with the empirical method and the NSGA-II method, the method in this paper has the smallest average GDOP, a better robustness, and a higher positioning accuracy in the target area, through which a pseudolite deployment proposal can be quickly obtained.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.23919/cje.2022.00.013
- https://ieeexplore.ieee.org/ielx7/9970761/10250798/10250804.pdf
- OA Status
- bronze
- Cited By
- 4
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387063709
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387063709Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.23919/cje.2022.00.013Digital Object Identifier
- Title
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A Layout Method of Space-Based Pseudolite System Based on GDOP GeometryWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-09-01Full publication date if available
- Authors
-
Xin Yang, Feixue Wang, Wenxiang Liu, Wei Xiao, Xiaozhou YeList of authors in order
- Landing page
-
https://doi.org/10.23919/cje.2022.00.013Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/9970761/10250798/10250804.pdfDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/9970761/10250798/10250804.pdfDirect OA link when available
- Concepts
-
Dilution of precision, Robustness (evolution), Computer science, Software deployment, Real-time computing, Simulation, Global Positioning System, Telecommunications, GNSS applications, Chemistry, Gene, Operating system, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.from | 81 |
| abstract_inverted_index.good | 28 |
| abstract_inverted_index.mean | 49 |
| abstract_inverted_index.seen | 99 |
| abstract_inverted_index.this | 61, 113 |
| abstract_inverted_index.used | 5 |
| abstract_inverted_index.with | 102 |
| abstract_inverted_index.GDOP, | 119 |
| abstract_inverted_index.area, | 131 |
| abstract_inverted_index.area. | 17, 68, 91 |
| abstract_inverted_index.based | 76 |
| abstract_inverted_index.needs | 31 |
| abstract_inverted_index.order | 19 |
| abstract_inverted_index.paper | 62, 114 |
| abstract_inverted_index.that, | 100 |
| abstract_inverted_index.users | 13, 64, 87 |
| abstract_inverted_index.value | 85 |
| abstract_inverted_index.which | 133 |
| abstract_inverted_index.(GDOP) | 57 |
| abstract_inverted_index.better | 22, 121 |
| abstract_inverted_index.formed | 34 |
| abstract_inverted_index.higher | 125 |
| abstract_inverted_index.method | 75, 105, 111 |
| abstract_inverted_index.square | 50 |
| abstract_inverted_index.system | 2, 44 |
| abstract_inverted_index.target | 67, 130 |
| abstract_inverted_index.timing | 10, 25 |
| abstract_inverted_index.values | 51 |
| abstract_inverted_index.NSGA-II | 108 |
| abstract_inverted_index.average | 47, 118 |
| abstract_inverted_index.central | 90 |
| abstract_inverted_index.method, | 109 |
| abstract_inverted_index.minimum | 83 |
| abstract_inverted_index.problem | 41 |
| abstract_inverted_index.provide | 7, 21 |
| abstract_inverted_index.quickly | 140 |
| abstract_inverted_index.service | 11 |
| abstract_inverted_index.system. | 38 |
| abstract_inverted_index.through | 132 |
| abstract_inverted_index.accuracy | 127 |
| abstract_inverted_index.compared | 101 |
| abstract_inverted_index.dilution | 54 |
| abstract_inverted_index.proposal | 137 |
| abstract_inverted_index.proposed | 70 |
| abstract_inverted_index.results, | 95 |
| abstract_inverted_index.service, | 26 |
| abstract_inverted_index.smallest | 117 |
| abstract_inverted_index.specific | 16 |
| abstract_inverted_index.starting | 80 |
| abstract_inverted_index.empirical | 104 |
| abstract_inverted_index.geometric | 29, 53 |
| abstract_inverted_index.geometry, | 79 |
| abstract_inverted_index.obtained. | 141 |
| abstract_inverted_index.optimized | 59 |
| abstract_inverted_index.precision | 56 |
| abstract_inverted_index.deployment | 74, 136 |
| abstract_inverted_index.pseudolite | 1, 37, 43, 73, 135 |
| abstract_inverted_index.simulation | 94 |
| abstract_inverted_index.deployment, | 45 |
| abstract_inverted_index.positioning | 8, 23, 126 |
| abstract_inverted_index.robustness, | 122 |
| abstract_inverted_index.space-based | 72 |
| abstract_inverted_index.configuration | 30 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.68655565 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |