Fast estimation of array shape and direction of arrival using sparse Bayesian learning for manoeuvring towed line array Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1049/rsn2.12598
The sparse Bayesian learning (SBL) algorithm has demonstrated its advantage in the direction of arrival (DOA) estimation. However, it requires a lot of computational cost to iteratively estimate the SBL hyperparameters from measurement data. This paper focuses on fast estimating the array shape and DOAs using SBL for a short towed line array (TLA) during manoeuvring. A parabolic model is utilised to describe the bent TLA whose bow as a hyperparameter is estimated in the SBL iterative process. Then, the basis vector pruning strategy is considered in the iteration to reduce computational cost by neglecting the impossible directions of signal presence. The converged speed of the joint estimation algorithm is further improved by approximately calculating the posterior probability density with the message passing approach. The effectiveness of the optimising joint estimation algorithm is verified using the experimental results from South China Sea.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/rsn2.12598
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rsn2.12598
- OA Status
- gold
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399677951
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4399677951Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/rsn2.12598Digital Object Identifier
- Title
-
Fast estimation of array shape and direction of arrival using sparse Bayesian learning for manoeuvring towed line arrayWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-14Full publication date if available
- Authors
-
Xiang Pan, Haoran Wang, Min Li, Jie Zhou, Yuxiao Li, Weize XuList of authors in order
- Landing page
-
https://doi.org/10.1049/rsn2.12598Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rsn2.12598Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rsn2.12598Direct OA link when available
- Concepts
-
Hyperparameter, Algorithm, Direction of arrival, Computer science, Line (geometry), Bayesian probability, Pruning, Bayesian inference, Mathematics, Artificial intelligence, Antenna (radio), Telecommunications, Agronomy, Biology, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4399677951 |
|---|---|
| doi | https://doi.org/10.1049/rsn2.12598 |
| ids.doi | https://doi.org/10.1049/rsn2.12598 |
| ids.openalex | https://openalex.org/W4399677951 |
| fwci | 0.0 |
| type | article |
| title | Fast estimation of array shape and direction of arrival using sparse Bayesian learning for manoeuvring towed line array |
| awards[0].id | https://openalex.org/G7430017081 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 82270309 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 10 |
| biblio.volume | 18 |
| biblio.last_page | 1637 |
| biblio.first_page | 1625 |
| topics[0].id | https://openalex.org/T10931 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1711 |
| topics[0].subfield.display_name | Signal Processing |
| topics[0].display_name | Direction-of-Arrival Estimation Techniques |
| topics[1].id | https://openalex.org/T11698 |
| topics[1].field.id | https://openalex.org/fields/19 |
| topics[1].field.display_name | Earth and Planetary Sciences |
| topics[1].score | 0.9995999932289124 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1910 |
| topics[1].subfield.display_name | Oceanography |
| topics[1].display_name | Underwater Acoustics Research |
| topics[2].id | https://openalex.org/T10860 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9991999864578247 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1711 |
| topics[2].subfield.display_name | Signal Processing |
| topics[2].display_name | Speech and Audio Processing |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 2000 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2200 |
| apc_paid.value | 2000 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 2200 |
| concepts[0].id | https://openalex.org/C8642999 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8408827781677246 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q4171168 |
| concepts[0].display_name | Hyperparameter |
| concepts[1].id | https://openalex.org/C11413529 |
| concepts[1].level | 1 |
| concepts[1].score | 0.659250020980835 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[1].display_name | Algorithm |
| concepts[2].id | https://openalex.org/C172051844 |
| concepts[2].level | 3 |
| concepts[2].score | 0.5592597126960754 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q5280438 |
| concepts[2].display_name | Direction of arrival |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5506828427314758 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C198352243 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5174360871315002 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q37105 |
| concepts[4].display_name | Line (geometry) |
| concepts[5].id | https://openalex.org/C107673813 |
| concepts[5].level | 2 |
| concepts[5].score | 0.48594677448272705 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q812534 |
| concepts[5].display_name | Bayesian probability |
| concepts[6].id | https://openalex.org/C108010975 |
| concepts[6].level | 2 |
| concepts[6].score | 0.48005685210227966 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q500094 |
| concepts[6].display_name | Pruning |
| concepts[7].id | https://openalex.org/C160234255 |
| concepts[7].level | 3 |
| concepts[7].score | 0.47572067379951477 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q812535 |
| concepts[7].display_name | Bayesian inference |
| concepts[8].id | https://openalex.org/C33923547 |
| concepts[8].level | 0 |
| concepts[8].score | 0.31444618105888367 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[8].display_name | Mathematics |
| concepts[9].id | https://openalex.org/C154945302 |
| concepts[9].level | 1 |
| concepts[9].score | 0.26460546255111694 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[9].display_name | Artificial intelligence |
| concepts[10].id | https://openalex.org/C21822782 |
| concepts[10].level | 2 |
| concepts[10].score | 0.10070163011550903 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q131214 |
| concepts[10].display_name | Antenna (radio) |
| concepts[11].id | https://openalex.org/C76155785 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0771116316318512 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[11].display_name | Telecommunications |
| concepts[12].id | https://openalex.org/C6557445 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q173113 |
| concepts[12].display_name | Agronomy |
| concepts[13].id | https://openalex.org/C86803240 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[13].display_name | Biology |
| concepts[14].id | https://openalex.org/C2524010 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[14].display_name | Geometry |
| keywords[0].id | https://openalex.org/keywords/hyperparameter |
| keywords[0].score | 0.8408827781677246 |
| keywords[0].display_name | Hyperparameter |
| keywords[1].id | https://openalex.org/keywords/algorithm |
| keywords[1].score | 0.659250020980835 |
| keywords[1].display_name | Algorithm |
| keywords[2].id | https://openalex.org/keywords/direction-of-arrival |
| keywords[2].score | 0.5592597126960754 |
| keywords[2].display_name | Direction of arrival |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5506828427314758 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/line |
| keywords[4].score | 0.5174360871315002 |
| keywords[4].display_name | Line (geometry) |
| keywords[5].id | https://openalex.org/keywords/bayesian-probability |
| keywords[5].score | 0.48594677448272705 |
| keywords[5].display_name | Bayesian probability |
| keywords[6].id | https://openalex.org/keywords/pruning |
| keywords[6].score | 0.48005685210227966 |
| keywords[6].display_name | Pruning |
| keywords[7].id | https://openalex.org/keywords/bayesian-inference |
| keywords[7].score | 0.47572067379951477 |
| keywords[7].display_name | Bayesian inference |
| keywords[8].id | https://openalex.org/keywords/mathematics |
| keywords[8].score | 0.31444618105888367 |
| keywords[8].display_name | Mathematics |
| keywords[9].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[9].score | 0.26460546255111694 |
| keywords[9].display_name | Artificial intelligence |
| keywords[10].id | https://openalex.org/keywords/antenna |
| keywords[10].score | 0.10070163011550903 |
| keywords[10].display_name | Antenna (radio) |
| keywords[11].id | https://openalex.org/keywords/telecommunications |
| keywords[11].score | 0.0771116316318512 |
| keywords[11].display_name | Telecommunications |
| language | en |
| locations[0].id | doi:10.1049/rsn2.12598 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S3569471 |
| locations[0].source.issn | 1751-8784, 1751-8792 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1751-8784 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | IET Radar Sonar & Navigation |
| locations[0].source.host_organization | https://openalex.org/P4310311714 |
| locations[0].source.host_organization_name | Institution of Engineering and Technology |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311714 |
| locations[0].source.host_organization_lineage_names | Institution of Engineering and Technology |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rsn2.12598 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IET Radar, Sonar & Navigation |
| locations[0].landing_page_url | https://doi.org/10.1049/rsn2.12598 |
| locations[1].id | pmh:oai:doaj.org/article:43eca8b148ba4814b839740d879b825a |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | IET Radar, Sonar & Navigation, Vol 18, Iss 10, Pp 1625-1637 (2024) |
| locations[1].landing_page_url | https://doaj.org/article/43eca8b148ba4814b839740d879b825a |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5064600744 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9041-1513 |
| authorships[0].author.display_name | Xiang Pan |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I76130692 |
| authorships[0].affiliations[0].raw_affiliation_string | College of Information and Electronic Engineering, Zhejiang University, Hangzhou, China |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I4210113495 |
| authorships[0].affiliations[1].raw_affiliation_string | The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China |
| authorships[0].institutions[0].id | https://openalex.org/I4210113495 |
| authorships[0].institutions[0].ror | https://ror.org/025fyfd20 |
| authorships[0].institutions[0].type | healthcare |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210113495 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Children's Hospital of Zhejiang University |
| authorships[0].institutions[1].id | https://openalex.org/I76130692 |
| authorships[0].institutions[1].ror | https://ror.org/00a2xv884 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I76130692 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Zhejiang University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xiang Pan |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | College of Information and Electronic Engineering, Zhejiang University, Hangzhou, China, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China |
| authorships[1].author.id | https://openalex.org/A5100609726 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-2915-6714 |
| authorships[1].author.display_name | Haoran Wang |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I76130692 |
| authorships[1].affiliations[0].raw_affiliation_string | College of Information and Electronic Engineering, Zhejiang University, Hangzhou, China |
| authorships[1].institutions[0].id | https://openalex.org/I76130692 |
| authorships[1].institutions[0].ror | https://ror.org/00a2xv884 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I76130692 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Zhejiang University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Haoran Wang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | College of Information and Electronic Engineering, Zhejiang University, Hangzhou, China |
| authorships[2].author.id | https://openalex.org/A5100400762 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-9366-2390 |
| authorships[2].author.display_name | Min Li |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I76130692 |
| authorships[2].affiliations[0].raw_affiliation_string | College of Information and Electronic Engineering, Zhejiang University, Hangzhou, China |
| authorships[2].institutions[0].id | https://openalex.org/I76130692 |
| authorships[2].institutions[0].ror | https://ror.org/00a2xv884 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I76130692 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Zhejiang University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Min Li |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | College of Information and Electronic Engineering, Zhejiang University, Hangzhou, China |
| authorships[3].author.id | https://openalex.org/A5101813224 |
| authorships[3].author.orcid | https://orcid.org/0009-0004-8939-7848 |
| authorships[3].author.display_name | Jie Zhou |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I50760025 |
| authorships[3].affiliations[0].raw_affiliation_string | College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou, China |
| authorships[3].institutions[0].id | https://openalex.org/I50760025 |
| authorships[3].institutions[0].ror | https://ror.org/0576gt767 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I50760025 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Hangzhou Dianzi University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jie Zhou |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou, China |
| authorships[4].author.id | https://openalex.org/A5101701417 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-9755-4215 |
| authorships[4].author.display_name | Yuxiao Li |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210166576 |
| authorships[4].affiliations[0].raw_affiliation_string | The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China |
| authorships[4].institutions[0].id | https://openalex.org/I4210166576 |
| authorships[4].institutions[0].ror | https://ror.org/05m1p5x56 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210166576 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | First Affiliated Hospital Zhejiang University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Yuxiao Li |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China |
| authorships[5].author.id | https://openalex.org/A5080196425 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-1350-0613 |
| authorships[5].author.display_name | Weize Xu |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210113495 |
| authorships[5].affiliations[0].raw_affiliation_string | The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China |
| authorships[5].institutions[0].id | https://openalex.org/I4210113495 |
| authorships[5].institutions[0].ror | https://ror.org/025fyfd20 |
| authorships[5].institutions[0].type | healthcare |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210113495 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Children's Hospital of Zhejiang University |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Weize Xu |
| authorships[5].is_corresponding | True |
| authorships[5].raw_affiliation_strings | The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rsn2.12598 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Fast estimation of array shape and direction of arrival using sparse Bayesian learning for manoeuvring towed line array |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10931 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1711 |
| primary_topic.subfield.display_name | Signal Processing |
| primary_topic.display_name | Direction-of-Arrival Estimation Techniques |
| related_works | https://openalex.org/W4389711913, https://openalex.org/W3128856671, https://openalex.org/W2407375987, https://openalex.org/W2505726097, https://openalex.org/W2010643158, https://openalex.org/W3049691116, https://openalex.org/W2106867672, https://openalex.org/W3081214562, https://openalex.org/W4310268968, https://openalex.org/W2950975704 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1049/rsn2.12598 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S3569471 |
| best_oa_location.source.issn | 1751-8784, 1751-8792 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1751-8784 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | IET Radar Sonar & Navigation |
| best_oa_location.source.host_organization | https://openalex.org/P4310311714 |
| best_oa_location.source.host_organization_name | Institution of Engineering and Technology |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311714 |
| best_oa_location.source.host_organization_lineage_names | Institution of Engineering and Technology |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rsn2.12598 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IET Radar, Sonar & Navigation |
| best_oa_location.landing_page_url | https://doi.org/10.1049/rsn2.12598 |
| primary_location.id | doi:10.1049/rsn2.12598 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S3569471 |
| primary_location.source.issn | 1751-8784, 1751-8792 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1751-8784 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | IET Radar Sonar & Navigation |
| primary_location.source.host_organization | https://openalex.org/P4310311714 |
| primary_location.source.host_organization_name | Institution of Engineering and Technology |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311714 |
| primary_location.source.host_organization_lineage_names | Institution of Engineering and Technology |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rsn2.12598 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IET Radar, Sonar & Navigation |
| primary_location.landing_page_url | https://doi.org/10.1049/rsn2.12598 |
| publication_date | 2024-06-14 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W1573524085, https://openalex.org/W2979654976, https://openalex.org/W3010818268, https://openalex.org/W4378072476, https://openalex.org/W2148154358, https://openalex.org/W4250955649, https://openalex.org/W1961498716, https://openalex.org/W2811204767, https://openalex.org/W2290170958, https://openalex.org/W2900338801, https://openalex.org/W3119172622, https://openalex.org/W2615392485, https://openalex.org/W2887288499, https://openalex.org/W2166670884, https://openalex.org/W2596873572, https://openalex.org/W2095610598, https://openalex.org/W2144421784, https://openalex.org/W2057759878, https://openalex.org/W1980679585, https://openalex.org/W3156389380, https://openalex.org/W2152279006, https://openalex.org/W2942034734, https://openalex.org/W2082029531, https://openalex.org/W3098352114, https://openalex.org/W4246355925 |
| referenced_works_count | 25 |
| abstract_inverted_index.A | 57 |
| abstract_inverted_index.a | 21, 49, 70 |
| abstract_inverted_index.as | 69 |
| abstract_inverted_index.by | 94, 113 |
| abstract_inverted_index.in | 11, 74, 87 |
| abstract_inverted_index.is | 60, 72, 85, 110, 133 |
| abstract_inverted_index.it | 19 |
| abstract_inverted_index.of | 14, 23, 99, 105, 127 |
| abstract_inverted_index.on | 38 |
| abstract_inverted_index.to | 26, 62, 90 |
| abstract_inverted_index.SBL | 30, 47, 76 |
| abstract_inverted_index.TLA | 66 |
| abstract_inverted_index.The | 1, 102, 125 |
| abstract_inverted_index.and | 44 |
| abstract_inverted_index.bow | 68 |
| abstract_inverted_index.for | 48 |
| abstract_inverted_index.has | 7 |
| abstract_inverted_index.its | 9 |
| abstract_inverted_index.lot | 22 |
| abstract_inverted_index.the | 12, 29, 41, 64, 75, 80, 88, 96, 106, 116, 121, 128, 136 |
| abstract_inverted_index.DOAs | 45 |
| abstract_inverted_index.Sea. | 142 |
| abstract_inverted_index.This | 35 |
| abstract_inverted_index.bent | 65 |
| abstract_inverted_index.cost | 25, 93 |
| abstract_inverted_index.fast | 39 |
| abstract_inverted_index.from | 32, 139 |
| abstract_inverted_index.line | 52 |
| abstract_inverted_index.with | 120 |
| abstract_inverted_index.(DOA) | 16 |
| abstract_inverted_index.(SBL) | 5 |
| abstract_inverted_index.(TLA) | 54 |
| abstract_inverted_index.China | 141 |
| abstract_inverted_index.South | 140 |
| abstract_inverted_index.Then, | 79 |
| abstract_inverted_index.array | 42, 53 |
| abstract_inverted_index.basis | 81 |
| abstract_inverted_index.data. | 34 |
| abstract_inverted_index.joint | 107, 130 |
| abstract_inverted_index.model | 59 |
| abstract_inverted_index.paper | 36 |
| abstract_inverted_index.shape | 43 |
| abstract_inverted_index.short | 50 |
| abstract_inverted_index.speed | 104 |
| abstract_inverted_index.towed | 51 |
| abstract_inverted_index.using | 46, 135 |
| abstract_inverted_index.whose | 67 |
| abstract_inverted_index.during | 55 |
| abstract_inverted_index.reduce | 91 |
| abstract_inverted_index.signal | 100 |
| abstract_inverted_index.sparse | 2 |
| abstract_inverted_index.vector | 82 |
| abstract_inverted_index.arrival | 15 |
| abstract_inverted_index.density | 119 |
| abstract_inverted_index.focuses | 37 |
| abstract_inverted_index.further | 111 |
| abstract_inverted_index.message | 122 |
| abstract_inverted_index.passing | 123 |
| abstract_inverted_index.pruning | 83 |
| abstract_inverted_index.results | 138 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Bayesian | 3 |
| abstract_inverted_index.However, | 18 |
| abstract_inverted_index.describe | 63 |
| abstract_inverted_index.estimate | 28 |
| abstract_inverted_index.improved | 112 |
| abstract_inverted_index.learning | 4 |
| abstract_inverted_index.process. | 78 |
| abstract_inverted_index.requires | 20 |
| abstract_inverted_index.strategy | 84 |
| abstract_inverted_index.utilised | 61 |
| abstract_inverted_index.verified | 134 |
| abstract_inverted_index.advantage | 10 |
| abstract_inverted_index.algorithm | 6, 109, 132 |
| abstract_inverted_index.approach. | 124 |
| abstract_inverted_index.converged | 103 |
| abstract_inverted_index.direction | 13 |
| abstract_inverted_index.estimated | 73 |
| abstract_inverted_index.iteration | 89 |
| abstract_inverted_index.iterative | 77 |
| abstract_inverted_index.parabolic | 58 |
| abstract_inverted_index.posterior | 117 |
| abstract_inverted_index.presence. | 101 |
| abstract_inverted_index.considered | 86 |
| abstract_inverted_index.directions | 98 |
| abstract_inverted_index.estimating | 40 |
| abstract_inverted_index.estimation | 108, 131 |
| abstract_inverted_index.impossible | 97 |
| abstract_inverted_index.neglecting | 95 |
| abstract_inverted_index.optimising | 129 |
| abstract_inverted_index.calculating | 115 |
| abstract_inverted_index.estimation. | 17 |
| abstract_inverted_index.iteratively | 27 |
| abstract_inverted_index.measurement | 33 |
| abstract_inverted_index.probability | 118 |
| abstract_inverted_index.demonstrated | 8 |
| abstract_inverted_index.experimental | 137 |
| abstract_inverted_index.manoeuvring. | 56 |
| abstract_inverted_index.approximately | 114 |
| abstract_inverted_index.computational | 24, 92 |
| abstract_inverted_index.effectiveness | 126 |
| abstract_inverted_index.hyperparameter | 71 |
| abstract_inverted_index.hyperparameters | 31 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5080196425, https://openalex.org/A5064600744 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I4210113495, https://openalex.org/I76130692 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.11091055 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |