Improve Sensing and Communication Performance of UAV via Integrated Sensing and Communication Article Swipe
Wangjun Jiang
,
Ailing Wang
,
Zhiqing Wei
,
Meichen Lai
,
Meichen Lai
,
Zhiyong Feng
,
Jianjun Liu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2206.10945
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2206.10945
The unmanned aerial vehicle (UAV) needs to sense the environment to ensure safe flight, and the sensing accuracy and communication delay performance are two important indicators of safe flight. The strategy of using integrated sensing and communication (ISAC) technology to improve the sensing and communication performance is proposed in this paper. On the one hand, the extended kalman filter (EKF) algorithm is adopted to achieve the fusion of communication location information and sensing information to improve the accuracy of target sensing. On the other hand, a Identification Friend or Foe (IFF) method based on ISAC is proposed to reduce communication delay. Compared with the traditional IFF method, the integrated technology used for IFF can realize the radar sensing and communication interrogating functions in parallel, greatly shortening the sensing time. Simulation results show that using ISAC technology, the sensing performance of UAV has been greatly improved, the communication delay can be reduced by up to 50%, the accuracy of target sensing can be improved by 24.2% when communication location information and radar sensing information have the same sensing accuracy.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2206.10945
- https://arxiv.org/pdf/2206.10945
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4310658669
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4310658669Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2206.10945Digital Object Identifier
- Title
-
Improve Sensing and Communication Performance of UAV via Integrated Sensing and CommunicationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-22Full publication date if available
- Authors
-
Wangjun Jiang, Ailing Wang, Zhiqing Wei, Meichen Lai, Meichen Lai, Zhiyong Feng, Jianjun LiuList of authors in order
- Landing page
-
https://arxiv.org/abs/2206.10945Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2206.10945Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2206.10945Direct OA link when available
- Concepts
-
Computer science, Real-time computing, Extended Kalman filter, Radar, Kalman filter, Identification (biology), Sensor fusion, Communications system, Remote sensing, Artificial intelligence, Telecommunications, Geography, Biology, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4310658669 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2206.10945 |
| ids.doi | https://doi.org/10.48550/arxiv.2206.10945 |
| ids.openalex | https://openalex.org/W4310658669 |
| fwci | |
| type | preprint |
| title | Improve Sensing and Communication Performance of UAV via Integrated Sensing and Communication |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10891 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9884999990463257 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2202 |
| topics[0].subfield.display_name | Aerospace Engineering |
| topics[0].display_name | Radar Systems and Signal Processing |
| topics[1].id | https://openalex.org/T10711 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9847000241279602 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Target Tracking and Data Fusion in Sensor Networks |
| topics[2].id | https://openalex.org/T12879 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9513999819755554 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1705 |
| topics[2].subfield.display_name | Computer Networks and Communications |
| topics[2].display_name | Distributed Sensor Networks and Detection Algorithms |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.6918418407440186 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C79403827 |
| concepts[1].level | 1 |
| concepts[1].score | 0.6227217316627502 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q3988 |
| concepts[1].display_name | Real-time computing |
| concepts[2].id | https://openalex.org/C206833254 |
| concepts[2].level | 3 |
| concepts[2].score | 0.5452417135238647 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q5421817 |
| concepts[2].display_name | Extended Kalman filter |
| concepts[3].id | https://openalex.org/C554190296 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5310141444206238 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q47528 |
| concepts[3].display_name | Radar |
| concepts[4].id | https://openalex.org/C157286648 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5017523765563965 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q846780 |
| concepts[4].display_name | Kalman filter |
| concepts[5].id | https://openalex.org/C116834253 |
| concepts[5].level | 2 |
| concepts[5].score | 0.49638181924819946 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2039217 |
| concepts[5].display_name | Identification (biology) |
| concepts[6].id | https://openalex.org/C33954974 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4489452540874481 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q486494 |
| concepts[6].display_name | Sensor fusion |
| concepts[7].id | https://openalex.org/C101765175 |
| concepts[7].level | 2 |
| concepts[7].score | 0.41035333275794983 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q577764 |
| concepts[7].display_name | Communications system |
| concepts[8].id | https://openalex.org/C62649853 |
| concepts[8].level | 1 |
| concepts[8].score | 0.37186411023139954 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[8].display_name | Remote sensing |
| concepts[9].id | https://openalex.org/C154945302 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2235766351222992 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[9].display_name | Artificial intelligence |
| concepts[10].id | https://openalex.org/C76155785 |
| concepts[10].level | 1 |
| concepts[10].score | 0.21527838706970215 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[10].display_name | Telecommunications |
| concepts[11].id | https://openalex.org/C205649164 |
| concepts[11].level | 0 |
| concepts[11].score | 0.07495555281639099 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[11].display_name | Geography |
| concepts[12].id | https://openalex.org/C86803240 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[12].display_name | Biology |
| concepts[13].id | https://openalex.org/C59822182 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q441 |
| concepts[13].display_name | Botany |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.6918418407440186 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/real-time-computing |
| keywords[1].score | 0.6227217316627502 |
| keywords[1].display_name | Real-time computing |
| keywords[2].id | https://openalex.org/keywords/extended-kalman-filter |
| keywords[2].score | 0.5452417135238647 |
| keywords[2].display_name | Extended Kalman filter |
| keywords[3].id | https://openalex.org/keywords/radar |
| keywords[3].score | 0.5310141444206238 |
| keywords[3].display_name | Radar |
| keywords[4].id | https://openalex.org/keywords/kalman-filter |
| keywords[4].score | 0.5017523765563965 |
| keywords[4].display_name | Kalman filter |
| keywords[5].id | https://openalex.org/keywords/identification |
| keywords[5].score | 0.49638181924819946 |
| keywords[5].display_name | Identification (biology) |
| keywords[6].id | https://openalex.org/keywords/sensor-fusion |
| keywords[6].score | 0.4489452540874481 |
| keywords[6].display_name | Sensor fusion |
| keywords[7].id | https://openalex.org/keywords/communications-system |
| keywords[7].score | 0.41035333275794983 |
| keywords[7].display_name | Communications system |
| keywords[8].id | https://openalex.org/keywords/remote-sensing |
| keywords[8].score | 0.37186411023139954 |
| keywords[8].display_name | Remote sensing |
| keywords[9].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[9].score | 0.2235766351222992 |
| keywords[9].display_name | Artificial intelligence |
| keywords[10].id | https://openalex.org/keywords/telecommunications |
| keywords[10].score | 0.21527838706970215 |
| keywords[10].display_name | Telecommunications |
| keywords[11].id | https://openalex.org/keywords/geography |
| keywords[11].score | 0.07495555281639099 |
| keywords[11].display_name | Geography |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2206.10945 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2206.10945 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2206.10945 |
| locations[1].id | doi:10.48550/arxiv.2206.10945 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2206.10945 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5057361065 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9608-324X |
| authorships[0].author.display_name | Wangjun Jiang |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Jiang, Wangjun |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5112896960 |
| authorships[1].author.orcid | https://orcid.org/0009-0000-0904-2993 |
| authorships[1].author.display_name | Ailing Wang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Wang, Ailing |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5039663772 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-7940-2739 |
| authorships[2].author.display_name | Zhiqing Wei |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Wei, Zhiqing |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5046816560 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Meichen Lai |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Lai, Meichen |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5046816560 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Meichen Lai |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Lai, Meichen |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5001714538 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-5322-222X |
| authorships[5].author.display_name | Zhiyong Feng |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Feng, Zhiyong |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5100439813 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-2452-6966 |
| authorships[6].author.display_name | Jianjun Liu |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Liu, Jianjun |
| authorships[6].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2206.10945 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2022-12-14T00:00:00 |
| display_name | Improve Sensing and Communication Performance of UAV via Integrated Sensing and Communication |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10891 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9884999990463257 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2202 |
| primary_topic.subfield.display_name | Aerospace Engineering |
| primary_topic.display_name | Radar Systems and Signal Processing |
| related_works | https://openalex.org/W2103062922, https://openalex.org/W2162299404, https://openalex.org/W2103761320, https://openalex.org/W2358167375, https://openalex.org/W116564642, https://openalex.org/W4386563447, https://openalex.org/W1983380679, https://openalex.org/W1981649169, https://openalex.org/W2357354286, https://openalex.org/W2388705266 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2206.10945 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2206.10945 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2206.10945 |
| primary_location.id | pmh:oai:arXiv.org:2206.10945 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2206.10945 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2206.10945 |
| publication_date | 2022-06-22 |
| publication_year | 2022 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 85 |
| abstract_inverted_index.On | 51, 81 |
| abstract_inverted_index.be | 149, 161 |
| abstract_inverted_index.by | 151, 163 |
| abstract_inverted_index.in | 48, 122 |
| abstract_inverted_index.is | 46, 61, 95 |
| abstract_inverted_index.of | 26, 31, 67, 78, 139, 157 |
| abstract_inverted_index.on | 93 |
| abstract_inverted_index.or | 88 |
| abstract_inverted_index.to | 6, 10, 39, 63, 74, 97, 153 |
| abstract_inverted_index.up | 152 |
| abstract_inverted_index.Foe | 89 |
| abstract_inverted_index.IFF | 105, 112 |
| abstract_inverted_index.The | 0, 29 |
| abstract_inverted_index.UAV | 140 |
| abstract_inverted_index.and | 14, 18, 35, 43, 71, 118, 169 |
| abstract_inverted_index.are | 22 |
| abstract_inverted_index.can | 113, 148, 160 |
| abstract_inverted_index.for | 111 |
| abstract_inverted_index.has | 141 |
| abstract_inverted_index.one | 53 |
| abstract_inverted_index.the | 8, 15, 41, 52, 55, 65, 76, 82, 103, 107, 115, 126, 136, 145, 155, 174 |
| abstract_inverted_index.two | 23 |
| abstract_inverted_index.50%, | 154 |
| abstract_inverted_index.ISAC | 94, 134 |
| abstract_inverted_index.been | 142 |
| abstract_inverted_index.have | 173 |
| abstract_inverted_index.safe | 12, 27 |
| abstract_inverted_index.same | 175 |
| abstract_inverted_index.show | 131 |
| abstract_inverted_index.that | 132 |
| abstract_inverted_index.this | 49 |
| abstract_inverted_index.used | 110 |
| abstract_inverted_index.when | 165 |
| abstract_inverted_index.with | 102 |
| abstract_inverted_index.(EKF) | 59 |
| abstract_inverted_index.(IFF) | 90 |
| abstract_inverted_index.(UAV) | 4 |
| abstract_inverted_index.24.2% | 164 |
| abstract_inverted_index.based | 92 |
| abstract_inverted_index.delay | 20, 147 |
| abstract_inverted_index.hand, | 54, 84 |
| abstract_inverted_index.needs | 5 |
| abstract_inverted_index.other | 83 |
| abstract_inverted_index.radar | 116, 170 |
| abstract_inverted_index.sense | 7 |
| abstract_inverted_index.time. | 128 |
| abstract_inverted_index.using | 32, 133 |
| abstract_inverted_index.(ISAC) | 37 |
| abstract_inverted_index.Friend | 87 |
| abstract_inverted_index.aerial | 2 |
| abstract_inverted_index.delay. | 100 |
| abstract_inverted_index.ensure | 11 |
| abstract_inverted_index.filter | 58 |
| abstract_inverted_index.fusion | 66 |
| abstract_inverted_index.kalman | 57 |
| abstract_inverted_index.method | 91 |
| abstract_inverted_index.paper. | 50 |
| abstract_inverted_index.reduce | 98 |
| abstract_inverted_index.target | 79, 158 |
| abstract_inverted_index.achieve | 64 |
| abstract_inverted_index.adopted | 62 |
| abstract_inverted_index.flight, | 13 |
| abstract_inverted_index.flight. | 28 |
| abstract_inverted_index.greatly | 124, 143 |
| abstract_inverted_index.improve | 40, 75 |
| abstract_inverted_index.method, | 106 |
| abstract_inverted_index.realize | 114 |
| abstract_inverted_index.reduced | 150 |
| abstract_inverted_index.results | 130 |
| abstract_inverted_index.sensing | 16, 34, 42, 72, 117, 127, 137, 159, 171, 176 |
| abstract_inverted_index.vehicle | 3 |
| abstract_inverted_index.Compared | 101 |
| abstract_inverted_index.accuracy | 17, 77, 156 |
| abstract_inverted_index.extended | 56 |
| abstract_inverted_index.improved | 162 |
| abstract_inverted_index.location | 69, 167 |
| abstract_inverted_index.proposed | 47, 96 |
| abstract_inverted_index.sensing. | 80 |
| abstract_inverted_index.strategy | 30 |
| abstract_inverted_index.unmanned | 1 |
| abstract_inverted_index.accuracy. | 177 |
| abstract_inverted_index.algorithm | 60 |
| abstract_inverted_index.functions | 121 |
| abstract_inverted_index.important | 24 |
| abstract_inverted_index.improved, | 144 |
| abstract_inverted_index.parallel, | 123 |
| abstract_inverted_index.Simulation | 129 |
| abstract_inverted_index.indicators | 25 |
| abstract_inverted_index.integrated | 33, 108 |
| abstract_inverted_index.shortening | 125 |
| abstract_inverted_index.technology | 38, 109 |
| abstract_inverted_index.environment | 9 |
| abstract_inverted_index.information | 70, 73, 168, 172 |
| abstract_inverted_index.performance | 21, 45, 138 |
| abstract_inverted_index.technology, | 135 |
| abstract_inverted_index.traditional | 104 |
| abstract_inverted_index.communication | 19, 36, 44, 68, 99, 119, 146, 166 |
| abstract_inverted_index.interrogating | 120 |
| abstract_inverted_index.Identification | 86 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.4399999976158142 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile |