{"id":"https://openalex.org/W4285296767","doi":"https://doi.org/10.1109/lgrs.2022.3184067","title":"Superresolution Radar Imaging via Peak Search and Compressed Sensing","display_name":"Superresolution Radar Imaging via Peak Search and Compressed Sensing","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285296767","doi":"https://doi.org/10.1109/lgrs.2022.3184067"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3184067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3184067","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044912017","display_name":"Kejiang Wu","orcid":"https://orcid.org/0000-0002-3255-277X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kejiang Wu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3255-277X","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012941237","display_name":"Wei Cui","orcid":"https://orcid.org/0000-0001-8532-8328"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cui","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8532-8328","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028237858","display_name":"Xiaojian Xu","orcid":"https://orcid.org/0000-0003-2340-5775"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojian Xu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2340-5775","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2696,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.76819852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.794717013835907},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.7079803943634033},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6935718655586243},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.671216607093811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6419181227684021},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5628005266189575},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5023412704467773},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4905228018760681},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4488610327243805},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42576494812965393},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4257458448410034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4029805064201355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37290656566619873},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17136836051940918},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16169193387031555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15500637888908386}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.794717013835907},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.7079803943634033},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6935718655586243},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.671216607093811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419181227684021},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5628005266189575},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5023412704467773},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4905228018760681},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4488610327243805},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42576494812965393},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4257458448410034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4029805064201355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37290656566619873},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17136836051940918},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16169193387031555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15500637888908386},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3184067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3184067","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2047042135","https://openalex.org/W2082476922","https://openalex.org/W2083042020","https://openalex.org/W2088213824","https://openalex.org/W2099944953","https://openalex.org/W2112101337","https://openalex.org/W2133665775","https://openalex.org/W2142351022","https://openalex.org/W2149918662","https://openalex.org/W2153254640","https://openalex.org/W2153424217","https://openalex.org/W2516481841","https://openalex.org/W2810566158","https://openalex.org/W3003613862","https://openalex.org/W3205045483","https://openalex.org/W6767769219"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W2082465502","https://openalex.org/W2896778670","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W1994788526","https://openalex.org/W2011609146","https://openalex.org/W1915418828","https://openalex.org/W2613451563"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1,73],"(CS)":[2],"based":[3,29,67,94],"imaging":[4,16,38,65,101],"technique":[5,66,143],"is":[6,75,81,103],"considered":[7],"to":[8,18,50,84,134],"be":[9],"an":[10],"effective":[11],"solution":[12],"for":[13,144],"high-resolution":[14],"radar":[15,32,52,146],"due":[17],"the":[19,23,26,43,86,108,115,136,141],"sparse":[20],"distribution":[21],"of":[22,54,88,92,111,140],"scatterers.":[24],"Nevertheless,":[25],"unoptimized":[27],"CS":[28,93],"synthetic":[30],"aperture":[31],"(SAR)":[33],"or":[34],"inverse":[35],"SAR":[36],"(ISAR)":[37],"approach":[39],"may":[40],"suffer":[41],"from":[42,128],"computationally":[44],"intensive":[45],"problem":[46,87],"when":[47],"apply":[48],"it":[49],"wideband":[51],"signatures":[53],"electrical":[55],"large-scale":[56],"targets.":[57],"In":[58],"this":[59],"paper,":[60],"a":[61],"two-dimensional":[62],"(2-D)":[63],"superresolution":[64],"on":[68],"peak":[69,78],"search":[70,79],"and":[71,119,124,138],"compressed":[72],"(PS-CS)":[74],"presented.":[76],"A":[77],"strategy":[80],"first":[82],"developed":[83],"solve":[85],"high":[89],"computational":[90],"complexity":[91],"method":[95],"in":[96],"scattering":[97,112],"parameter":[98],"estimation.":[99],"Superresolution":[100],"result":[102],"then":[104],"achieved":[105],"by":[106],"extrapolating":[107],"estimated":[109],"parameters":[110],"along":[113],"with":[114],"observing":[116],"angle":[117],"dimension":[118],"frequency":[120],"dimension.":[121],"The":[122],"numerical":[123],"measurement":[125],"data":[126],"acquired":[127],"different":[129],"man-made":[130],"targets":[131],"are":[132],"presented":[133],"demonstrate":[135],"feasibility":[137],"usefulness":[139],"proposed":[142],"supperresolution":[145],"imaging.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}