A New Method of Joint Radar and Communication Waveform Design and Signal Processing Based on OFDM-chirp Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.12000/jr21028
Waveform design of joint radar and communication has become a focus of intense research in recent years. Some scholars have proposed to use the odd and even carrier of Orthogonal Frequency Division Multiplexing (OFDM) signal to modulate the radar and communication functions, respectively, to realize the integration. However, OFDM systems generally use cyclic prefix to avoid Inter-Carrier Interference (ICI) and Inter-Symbol Interference (ISI) caused by multipath effects, reducing energy utilization and creating false targets, which affect radar performance. In addition, the traditional OFDM integrated signal is more sensitive to Doppler shift. A small Doppler frequency offset will also cause a considerable drop in orthogonal performance. On this basis, this paper proposes a new waveform design and processing method. This method uses blank guard intervals to replace cyclic prefixes, which can resist multipath effects while avoiding false targets introduced by cyclic prefixes, effectively preventing ICI and ISI. In terms of signal processing methods, this paper proposes a method for channel estimation and Doppler compensation using the priori information of the radar signal. Compared with the traditional method, this new method reduces the system’s resource overhead, such as pilot frequency and training sequence. It improves energy utilization and spectrum efficiency. The peak side lobe ratio, integration side lobe rate, and bit error ratio are also improved. Simulation experiments verify the effectiveness of this method.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doaj.org/article/1bed52869180452eaf6a050c2fd08dde
- OA Status
- green
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403795827
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4403795827Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.12000/jr21028Digital Object Identifier
- Title
-
A New Method of Joint Radar and Communication Waveform Design and Signal Processing Based on OFDM-chirpWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-06-01Full publication date if available
- Authors
-
Yuzhen Zhao, Longyong Chen, Fubo Zhang, Yanlei Li, Yirong WuList of authors in order
- Landing page
-
https://doaj.org/article/1bed52869180452eaf6a050c2fd08ddePublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doaj.org/article/1bed52869180452eaf6a050c2fd08ddeDirect OA link when available
- Concepts
-
Chirp, Waveform, Orthogonal frequency-division multiplexing, Joint (building), SIGNAL (programming language), Computer science, Signal processing, Electronic engineering, Radar, Telecommunications, Remote sensing, Engineering, Physics, Geology, Optics, Channel (broadcasting), Architectural engineering, Laser, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4403795827 |
|---|---|
| doi | https://doi.org/10.12000/jr21028 |
| ids.openalex | https://openalex.org/W4403795827 |
| fwci | 0.92170078 |
| type | article |
| title | A New Method of Joint Radar and Communication Waveform Design and Signal Processing Based on OFDM-chirp |
| 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 | 0.9829999804496765 |
| 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/T14158 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9275000095367432 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2208 |
| topics[1].subfield.display_name | Electrical and Electronic Engineering |
| topics[1].display_name | Optical Systems and Laser Technology |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C132794960 |
| concepts[0].level | 3 |
| concepts[0].score | 0.8450643420219421 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q27304 |
| concepts[0].display_name | Chirp |
| concepts[1].id | https://openalex.org/C197424946 |
| concepts[1].level | 3 |
| concepts[1].score | 0.7509775161743164 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1165717 |
| concepts[1].display_name | Waveform |
| concepts[2].id | https://openalex.org/C40409654 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6797563433647156 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q375889 |
| concepts[2].display_name | Orthogonal frequency-division multiplexing |
| concepts[3].id | https://openalex.org/C18555067 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6772912740707397 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q8375051 |
| concepts[3].display_name | Joint (building) |
| concepts[4].id | https://openalex.org/C2779843651 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5842452049255371 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7390335 |
| concepts[4].display_name | SIGNAL (programming language) |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.5482068061828613 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C104267543 |
| concepts[6].level | 3 |
| concepts[6].score | 0.5317336916923523 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q208163 |
| concepts[6].display_name | Signal processing |
| concepts[7].id | https://openalex.org/C24326235 |
| concepts[7].level | 1 |
| concepts[7].score | 0.5298119783401489 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q126095 |
| concepts[7].display_name | Electronic engineering |
| concepts[8].id | https://openalex.org/C554190296 |
| concepts[8].level | 2 |
| concepts[8].score | 0.5285680890083313 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q47528 |
| concepts[8].display_name | Radar |
| concepts[9].id | https://openalex.org/C76155785 |
| concepts[9].level | 1 |
| concepts[9].score | 0.39522331953048706 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[9].display_name | Telecommunications |
| concepts[10].id | https://openalex.org/C62649853 |
| concepts[10].level | 1 |
| concepts[10].score | 0.35512775182724 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[10].display_name | Remote sensing |
| concepts[11].id | https://openalex.org/C127413603 |
| concepts[11].level | 0 |
| concepts[11].score | 0.22620156407356262 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[11].display_name | Engineering |
| concepts[12].id | https://openalex.org/C121332964 |
| concepts[12].level | 0 |
| concepts[12].score | 0.20441898703575134 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[12].display_name | Physics |
| concepts[13].id | https://openalex.org/C127313418 |
| concepts[13].level | 0 |
| concepts[13].score | 0.19965368509292603 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[13].display_name | Geology |
| concepts[14].id | https://openalex.org/C120665830 |
| concepts[14].level | 1 |
| concepts[14].score | 0.1611441969871521 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[14].display_name | Optics |
| concepts[15].id | https://openalex.org/C127162648 |
| concepts[15].level | 2 |
| concepts[15].score | 0.044471949338912964 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q16858953 |
| concepts[15].display_name | Channel (broadcasting) |
| concepts[16].id | https://openalex.org/C170154142 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q150737 |
| concepts[16].display_name | Architectural engineering |
| concepts[17].id | https://openalex.org/C520434653 |
| concepts[17].level | 2 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q38867 |
| concepts[17].display_name | Laser |
| concepts[18].id | https://openalex.org/C199360897 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[18].display_name | Programming language |
| keywords[0].id | https://openalex.org/keywords/chirp |
| keywords[0].score | 0.8450643420219421 |
| keywords[0].display_name | Chirp |
| keywords[1].id | https://openalex.org/keywords/waveform |
| keywords[1].score | 0.7509775161743164 |
| keywords[1].display_name | Waveform |
| keywords[2].id | https://openalex.org/keywords/orthogonal-frequency-division-multiplexing |
| keywords[2].score | 0.6797563433647156 |
| keywords[2].display_name | Orthogonal frequency-division multiplexing |
| keywords[3].id | https://openalex.org/keywords/joint |
| keywords[3].score | 0.6772912740707397 |
| keywords[3].display_name | Joint (building) |
| keywords[4].id | https://openalex.org/keywords/signal |
| keywords[4].score | 0.5842452049255371 |
| keywords[4].display_name | SIGNAL (programming language) |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.5482068061828613 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/signal-processing |
| keywords[6].score | 0.5317336916923523 |
| keywords[6].display_name | Signal processing |
| keywords[7].id | https://openalex.org/keywords/electronic-engineering |
| keywords[7].score | 0.5298119783401489 |
| keywords[7].display_name | Electronic engineering |
| keywords[8].id | https://openalex.org/keywords/radar |
| keywords[8].score | 0.5285680890083313 |
| keywords[8].display_name | Radar |
| keywords[9].id | https://openalex.org/keywords/telecommunications |
| keywords[9].score | 0.39522331953048706 |
| keywords[9].display_name | Telecommunications |
| keywords[10].id | https://openalex.org/keywords/remote-sensing |
| keywords[10].score | 0.35512775182724 |
| keywords[10].display_name | Remote sensing |
| keywords[11].id | https://openalex.org/keywords/engineering |
| keywords[11].score | 0.22620156407356262 |
| keywords[11].display_name | Engineering |
| keywords[12].id | https://openalex.org/keywords/physics |
| keywords[12].score | 0.20441898703575134 |
| keywords[12].display_name | Physics |
| keywords[13].id | https://openalex.org/keywords/geology |
| keywords[13].score | 0.19965368509292603 |
| keywords[13].display_name | Geology |
| keywords[14].id | https://openalex.org/keywords/optics |
| keywords[14].score | 0.1611441969871521 |
| keywords[14].display_name | Optics |
| keywords[15].id | https://openalex.org/keywords/channel |
| keywords[15].score | 0.044471949338912964 |
| keywords[15].display_name | Channel (broadcasting) |
| language | en |
| locations[0].id | pmh:oai:doaj.org/article:1bed52869180452eaf6a050c2fd08dde |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306401280 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | cc-by-sa |
| locations[0].pdf_url | |
| locations[0].version | submittedVersion |
| locations[0].raw_type | article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | Leida xuebao, Vol 10, Iss 3, Pp 453-466 (2021) |
| locations[0].landing_page_url | https://doaj.org/article/1bed52869180452eaf6a050c2fd08dde |
| indexed_in | doaj |
| authorships[0].author.id | https://openalex.org/A5050201615 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2507-1342 |
| authorships[0].author.display_name | Yuzhen Zhao |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[0].affiliations[0].raw_affiliation_string | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[0].institutions[0].id | https://openalex.org/I4210137199 |
| authorships[0].institutions[0].ror | https://ror.org/0419fj215 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Aerospace Information Research Institute |
| authorships[0].institutions[1].id | https://openalex.org/I19820366 |
| authorships[0].institutions[1].ror | https://ror.org/034t30j35 |
| authorships[0].institutions[1].type | government |
| authorships[0].institutions[1].lineage | https://openalex.org/I19820366 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Chinese Academy of Sciences |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yuzhen ZHAO |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[1].author.id | https://openalex.org/A5025884811 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-3939-6973 |
| authorships[1].author.display_name | Longyong Chen |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[1].affiliations[0].raw_affiliation_string | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[1].institutions[0].id | https://openalex.org/I4210137199 |
| authorships[1].institutions[0].ror | https://ror.org/0419fj215 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Aerospace Information Research Institute |
| authorships[1].institutions[1].id | https://openalex.org/I19820366 |
| authorships[1].institutions[1].ror | https://ror.org/034t30j35 |
| authorships[1].institutions[1].type | government |
| authorships[1].institutions[1].lineage | https://openalex.org/I19820366 |
| authorships[1].institutions[1].country_code | CN |
| authorships[1].institutions[1].display_name | Chinese Academy of Sciences |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Longyong CHEN |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[2].author.id | https://openalex.org/A5006052289 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3179-052X |
| authorships[2].author.display_name | Fubo Zhang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[2].affiliations[0].raw_affiliation_string | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[2].institutions[0].id | https://openalex.org/I4210137199 |
| authorships[2].institutions[0].ror | https://ror.org/0419fj215 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Aerospace Information Research Institute |
| authorships[2].institutions[1].id | https://openalex.org/I19820366 |
| authorships[2].institutions[1].ror | https://ror.org/034t30j35 |
| authorships[2].institutions[1].type | government |
| authorships[2].institutions[1].lineage | https://openalex.org/I19820366 |
| authorships[2].institutions[1].country_code | CN |
| authorships[2].institutions[1].display_name | Chinese Academy of Sciences |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Fubo ZHANG |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[3].author.id | https://openalex.org/A5100648599 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-3246-5753 |
| authorships[3].author.display_name | Yanlei Li |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[3].affiliations[0].raw_affiliation_string | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[3].institutions[0].id | https://openalex.org/I4210137199 |
| authorships[3].institutions[0].ror | https://ror.org/0419fj215 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Aerospace Information Research Institute |
| authorships[3].institutions[1].id | https://openalex.org/I19820366 |
| authorships[3].institutions[1].ror | https://ror.org/034t30j35 |
| authorships[3].institutions[1].type | government |
| authorships[3].institutions[1].lineage | https://openalex.org/I19820366 |
| authorships[3].institutions[1].country_code | CN |
| authorships[3].institutions[1].display_name | Chinese Academy of Sciences |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Yanlei LI |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[4].author.id | https://openalex.org/A5100560808 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Yirong Wu |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[4].affiliations[0].raw_affiliation_string | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| authorships[4].institutions[0].id | https://openalex.org/I4210137199 |
| authorships[4].institutions[0].ror | https://ror.org/0419fj215 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I19820366, https://openalex.org/I4210137199 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Aerospace Information Research Institute |
| authorships[4].institutions[1].id | https://openalex.org/I19820366 |
| authorships[4].institutions[1].ror | https://ror.org/034t30j35 |
| authorships[4].institutions[1].type | government |
| authorships[4].institutions[1].lineage | https://openalex.org/I19820366 |
| authorships[4].institutions[1].country_code | CN |
| authorships[4].institutions[1].display_name | Chinese Academy of Sciences |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Yirong WU |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doaj.org/article/1bed52869180452eaf6a050c2fd08dde |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A New Method of Joint Radar and Communication Waveform Design and Signal Processing Based on OFDM-chirp |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| 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 | 0.9829999804496765 |
| 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/W2377235482, https://openalex.org/W2351454232, https://openalex.org/W1974895211, https://openalex.org/W2129841057, https://openalex.org/W3040712279, https://openalex.org/W2176409448, https://openalex.org/W2382227980, https://openalex.org/W2792339401, https://openalex.org/W2530747331, https://openalex.org/W2367940508 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | pmh:oai:doaj.org/article:1bed52869180452eaf6a050c2fd08dde |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306401280 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by-sa |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-sa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | Leida xuebao, Vol 10, Iss 3, Pp 453-466 (2021) |
| best_oa_location.landing_page_url | https://doaj.org/article/1bed52869180452eaf6a050c2fd08dde |
| primary_location.id | pmh:oai:doaj.org/article:1bed52869180452eaf6a050c2fd08dde |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306401280 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | cc-by-sa |
| primary_location.pdf_url | |
| primary_location.version | submittedVersion |
| primary_location.raw_type | article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-sa |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | Leida xuebao, Vol 10, Iss 3, Pp 453-466 (2021) |
| primary_location.landing_page_url | https://doaj.org/article/1bed52869180452eaf6a050c2fd08dde |
| publication_date | 2021-06-01 |
| publication_year | 2021 |
| referenced_works_count | 0 |
| abstract_inverted_index.A | 91 |
| abstract_inverted_index.a | 9, 99, 111, 155 |
| abstract_inverted_index.In | 78, 146 |
| abstract_inverted_index.It | 191 |
| abstract_inverted_index.On | 105 |
| abstract_inverted_index.as | 185 |
| abstract_inverted_index.by | 64, 138 |
| abstract_inverted_index.in | 14, 102 |
| abstract_inverted_index.is | 85 |
| abstract_inverted_index.of | 2, 11, 28, 148, 167, 219 |
| abstract_inverted_index.to | 21, 35, 43, 54, 88, 124 |
| abstract_inverted_index.ICI | 143 |
| abstract_inverted_index.The | 198 |
| abstract_inverted_index.and | 5, 25, 39, 59, 70, 115, 144, 160, 188, 195, 207 |
| abstract_inverted_index.are | 211 |
| abstract_inverted_index.bit | 208 |
| abstract_inverted_index.can | 129 |
| abstract_inverted_index.for | 157 |
| abstract_inverted_index.has | 7 |
| abstract_inverted_index.new | 112, 177 |
| abstract_inverted_index.odd | 24 |
| abstract_inverted_index.the | 23, 37, 45, 80, 164, 168, 173, 180, 217 |
| abstract_inverted_index.use | 22, 51 |
| abstract_inverted_index.ISI. | 145 |
| abstract_inverted_index.OFDM | 48, 82 |
| abstract_inverted_index.Some | 17 |
| abstract_inverted_index.This | 118 |
| abstract_inverted_index.also | 97, 212 |
| abstract_inverted_index.drop | 101 |
| abstract_inverted_index.even | 26 |
| abstract_inverted_index.have | 19 |
| abstract_inverted_index.lobe | 201, 205 |
| abstract_inverted_index.more | 86 |
| abstract_inverted_index.peak | 199 |
| abstract_inverted_index.side | 200, 204 |
| abstract_inverted_index.such | 184 |
| abstract_inverted_index.this | 106, 108, 152, 176, 220 |
| abstract_inverted_index.uses | 120 |
| abstract_inverted_index.will | 96 |
| abstract_inverted_index.with | 172 |
| abstract_inverted_index.(ICI) | 58 |
| abstract_inverted_index.(ISI) | 62 |
| abstract_inverted_index.avoid | 55 |
| abstract_inverted_index.blank | 121 |
| abstract_inverted_index.cause | 98 |
| abstract_inverted_index.error | 209 |
| abstract_inverted_index.false | 72, 135 |
| abstract_inverted_index.focus | 10 |
| abstract_inverted_index.guard | 122 |
| abstract_inverted_index.joint | 3 |
| abstract_inverted_index.paper | 109, 153 |
| abstract_inverted_index.pilot | 186 |
| abstract_inverted_index.radar | 4, 38, 76, 169 |
| abstract_inverted_index.rate, | 206 |
| abstract_inverted_index.ratio | 210 |
| abstract_inverted_index.small | 92 |
| abstract_inverted_index.terms | 147 |
| abstract_inverted_index.using | 163 |
| abstract_inverted_index.which | 74, 128 |
| abstract_inverted_index.while | 133 |
| abstract_inverted_index.(OFDM) | 33 |
| abstract_inverted_index.affect | 75 |
| abstract_inverted_index.basis, | 107 |
| abstract_inverted_index.become | 8 |
| abstract_inverted_index.caused | 63 |
| abstract_inverted_index.cyclic | 52, 126, 139 |
| abstract_inverted_index.design | 1, 114 |
| abstract_inverted_index.energy | 68, 193 |
| abstract_inverted_index.method | 119, 156, 178 |
| abstract_inverted_index.offset | 95 |
| abstract_inverted_index.prefix | 53 |
| abstract_inverted_index.priori | 165 |
| abstract_inverted_index.ratio, | 202 |
| abstract_inverted_index.recent | 15 |
| abstract_inverted_index.resist | 130 |
| abstract_inverted_index.shift. | 90 |
| abstract_inverted_index.signal | 34, 84, 149 |
| abstract_inverted_index.verify | 216 |
| abstract_inverted_index.years. | 16 |
| abstract_inverted_index.Doppler | 89, 93, 161 |
| abstract_inverted_index.carrier | 27 |
| abstract_inverted_index.channel | 158 |
| abstract_inverted_index.effects | 132 |
| abstract_inverted_index.intense | 12 |
| abstract_inverted_index.method, | 175 |
| abstract_inverted_index.method. | 117, 221 |
| abstract_inverted_index.realize | 44 |
| abstract_inverted_index.reduces | 179 |
| abstract_inverted_index.replace | 125 |
| abstract_inverted_index.signal. | 170 |
| abstract_inverted_index.systems | 49 |
| abstract_inverted_index.targets | 136 |
| abstract_inverted_index.Compared | 171 |
| abstract_inverted_index.Division | 31 |
| abstract_inverted_index.However, | 47 |
| abstract_inverted_index.Waveform | 0 |
| abstract_inverted_index.avoiding | 134 |
| abstract_inverted_index.creating | 71 |
| abstract_inverted_index.effects, | 66 |
| abstract_inverted_index.improves | 192 |
| abstract_inverted_index.methods, | 151 |
| abstract_inverted_index.modulate | 36 |
| abstract_inverted_index.proposed | 20 |
| abstract_inverted_index.proposes | 110, 154 |
| abstract_inverted_index.reducing | 67 |
| abstract_inverted_index.research | 13 |
| abstract_inverted_index.resource | 182 |
| abstract_inverted_index.scholars | 18 |
| abstract_inverted_index.spectrum | 196 |
| abstract_inverted_index.targets, | 73 |
| abstract_inverted_index.training | 189 |
| abstract_inverted_index.waveform | 113 |
| abstract_inverted_index.Frequency | 30 |
| abstract_inverted_index.addition, | 79 |
| abstract_inverted_index.frequency | 94, 187 |
| abstract_inverted_index.generally | 50 |
| abstract_inverted_index.improved. | 213 |
| abstract_inverted_index.intervals | 123 |
| abstract_inverted_index.multipath | 65, 131 |
| abstract_inverted_index.overhead, | 183 |
| abstract_inverted_index.prefixes, | 127, 140 |
| abstract_inverted_index.sensitive | 87 |
| abstract_inverted_index.sequence. | 190 |
| abstract_inverted_index.Orthogonal | 29 |
| abstract_inverted_index.Simulation | 214 |
| abstract_inverted_index.estimation | 159 |
| abstract_inverted_index.functions, | 41 |
| abstract_inverted_index.integrated | 83 |
| abstract_inverted_index.introduced | 137 |
| abstract_inverted_index.orthogonal | 103 |
| abstract_inverted_index.preventing | 142 |
| abstract_inverted_index.processing | 116, 150 |
| abstract_inverted_index.system’s | 181 |
| abstract_inverted_index.effectively | 141 |
| abstract_inverted_index.efficiency. | 197 |
| abstract_inverted_index.experiments | 215 |
| abstract_inverted_index.information | 166 |
| abstract_inverted_index.integration | 203 |
| abstract_inverted_index.traditional | 81, 174 |
| abstract_inverted_index.utilization | 69, 194 |
| abstract_inverted_index.Inter-Symbol | 60 |
| abstract_inverted_index.Interference | 57, 61 |
| abstract_inverted_index.Multiplexing | 32 |
| abstract_inverted_index.compensation | 162 |
| abstract_inverted_index.considerable | 100 |
| abstract_inverted_index.integration. | 46 |
| abstract_inverted_index.performance. | 77, 104 |
| abstract_inverted_index.Inter-Carrier | 56 |
| abstract_inverted_index.communication | 6, 40 |
| abstract_inverted_index.effectiveness | 218 |
| abstract_inverted_index.respectively, | 42 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.47999998927116394 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.83838729 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |