Study and Comparison of Hyperbolic and Pseudorange Positioning Algorithms in the eLoran System Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/electronics13203986
The positioning algorithms of the Enhanced Long-Range Navigation (eLoran) system primarily include the hyperbolic positioning algorithm and the pseudorange positioning algorithm. However, the calculations present in the existing literature are inaccurate and lack empirical data, and a thorough and precise comparison of the two algorithms has yet to be conducted. Therefore, this paper employs a combination of simulation analysis and empirical analysis to explore these two positioning algorithms in depth, with an optimization of the initial position calculation in the pseudorange algorithm. Under ideal conditions without observational errors, through precise calculations and analysis, the positioning errors of both algorithms are approximately zero, and full-area solutions can be achieved. Under conditions with observational errors, this study shows that both algorithms exhibit positioning errors, with the pseudorange algorithm achieving a level of accuracy comparable to that of the hyperbolic algorithm. At the same time, the empirical analysis further verified this conclusion. Additionally, this study found that the pseudorange positioning algorithm demonstrated better applicability in practical applications, as it successfully resolved the multivalued and singularity issues present in the hyperbolic positioning algorithm.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics13203986
- OA Status
- gold
- Cited By
- 1
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403304176
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403304176Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics13203986Digital Object Identifier
- Title
-
Study and Comparison of Hyperbolic and Pseudorange Positioning Algorithms in the eLoran SystemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-10Full publication date if available
- Authors
-
Man Yang, Baorong Yan, Chaozhong Yang, Wei Guo, Shifeng LiList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics13203986Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/electronics13203986Direct OA link when available
- Concepts
-
Pseudorange, Algorithm, Computer science, Global Positioning System, Telecommunications, GNSS applicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.both | 97, 117 |
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| abstract_inverted_index.depth, | 69 |
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| abstract_inverted_index.through | 88 |
| abstract_inverted_index.without | 85 |
| abstract_inverted_index.(eLoran) | 8 |
| abstract_inverted_index.Enhanced | 5 |
| abstract_inverted_index.However, | 21 |
| abstract_inverted_index.accuracy | 130 |
| abstract_inverted_index.analysis | 58, 61, 144 |
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| abstract_inverted_index.practical | 162 |
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| abstract_inverted_index.solutions | 104 |
| abstract_inverted_index.Long-Range | 6 |
| abstract_inverted_index.Navigation | 7 |
| abstract_inverted_index.Therefore, | 50 |
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| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5100774428 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210093645, https://openalex.org/I4210165038 |
| citation_normalized_percentile.value | 0.90293274 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |