{"id":"https://openalex.org/W4382657837","doi":"https://doi.org/10.1109/taes.2023.3290924","title":"Wideband Irregular Subarrayed Array Design Strategy With Minimum Module Quantity","display_name":"Wideband Irregular Subarrayed Array Design Strategy With Minimum Module Quantity","publication_year":2023,"publication_date":"2023-06-30","ids":{"openalex":"https://openalex.org/W4382657837","doi":"https://doi.org/10.1109/taes.2023.3290924"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2023.3290924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2023.3290924","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Transactions on Aerospace and Electronic Systems","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/A5001942707","display_name":"Jiyuan Chen","orcid":"https://orcid.org/0000-0003-4103-8294"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ji-Yuan Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076742775","display_name":"Zhenhai Xu","orcid":"https://orcid.org/0000-0003-1814-7919"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-Hai Xu","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015216706","display_name":"Wei Dong","orcid":"https://orcid.org/0000-0002-2213-4435"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Dong","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113575088","display_name":"Shunping Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun-Ping Xiao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001942707"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.4407,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74085385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"59","issue":"6","first_page":"7600","last_page":"7610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11946","display_name":"Antenna Design and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10069","display_name":"Antenna Design and Analysis","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11383","display_name":"Advanced Antenna and Metasurface Technologies","score":0.9620000123977661,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/wideband","display_name":"Wideband","score":0.8088768720626831},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6489033699035645},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5526719689369202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5014164447784424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4483196437358856},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.44557926058769226},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4433507025241852},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4392516613006592},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.41538533568382263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3829483389854431},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.25920218229293823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1528526246547699},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.14544832706451416}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.8088768720626831},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6489033699035645},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5526719689369202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5014164447784424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4483196437358856},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.44557926058769226},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4433507025241852},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4392516613006592},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.41538533568382263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3829483389854431},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.25920218229293823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1528526246547699},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.14544832706451416},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2023.3290924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2023.3290924","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G383134264","display_name":null,"funder_award_id":"62201595","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6541631453","display_name":null,"funder_award_id":"61890540","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1595367758","https://openalex.org/W1874846785","https://openalex.org/W1964173659","https://openalex.org/W1992202590","https://openalex.org/W2005502679","https://openalex.org/W2018696655","https://openalex.org/W2039891942","https://openalex.org/W2068853301","https://openalex.org/W2088508357","https://openalex.org/W2097664507","https://openalex.org/W2154535752","https://openalex.org/W2161878122","https://openalex.org/W2281588363","https://openalex.org/W2726344091","https://openalex.org/W2891800212","https://openalex.org/W2909544193","https://openalex.org/W3001374889","https://openalex.org/W3117632491","https://openalex.org/W3150776482","https://openalex.org/W3216926176","https://openalex.org/W4220815365","https://openalex.org/W4299996906"],"related_works":["https://openalex.org/W2042644197","https://openalex.org/W2073241848","https://openalex.org/W2785927776","https://openalex.org/W2904768397","https://openalex.org/W2089600072","https://openalex.org/W2005289539","https://openalex.org/W2069820990","https://openalex.org/W2031518249","https://openalex.org/W3007114974","https://openalex.org/W2526308500"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,38,70,94],"wideband":[4,39,95],"irregular":[5,34],"subarrayed":[6],"design":[7,98,128],"strategy":[8,99],"with":[9,33,100,111,139],"minimum":[10,71,101,141],"module":[11,57,72,102,105,113,136],"quantity,":[12],"which":[13],"decomposes":[14],"the":[15,24,30,45,63,78,81,84,109,118,127,134,140,155],"practical":[16],"application":[17,25],"problem":[18],"into":[19],"two":[20],"subproblems":[21],"according":[22],"to":[23,52,76,132],"scenarios":[26],"and":[27,83,145,152],"requirements.":[28],"For":[29,88],"arrays":[31],"tiled":[32,112],"subarrays,":[35],"we":[36,68,92],"propose":[37,69,93],"array":[40,90,96,110],"partition":[41,58,106,137],"method":[42,75],"based":[43],"on":[44],"principle":[46],"that":[47],"pattern":[48],"matching":[49],"is":[50,60,115],"equivalent":[51],"excitation":[53],"matching.":[54],"The":[55,104,150],"optimal":[56,135],"scheme":[59,138],"obtained":[61],"by":[62,117,160],"K-means":[64],"clustering":[65],"method.":[66,125],"Then,":[67],"quantity":[73,142],"estimation":[74],"explore":[77],"relationship":[79],"between":[80],"bandwidth":[82],"number":[85],"of":[86,108,143,154],"modules.":[87],"modular":[89],"cases,":[91],"hierarchical":[97],"quantity.":[103],"model":[107],"structure":[114],"solved":[116],"weighted":[119],"${l_{1}}$-norm":[120],"convex":[121],"relaxation":[122],"iterative":[123],"optimization":[124],"Both":[126],"methods":[129,157],"are":[130,158],"able":[131],"obtain":[133],"modules":[144],"maintain":[146],"good":[147],"radiation":[148],"performance.":[149],"effectiveness":[151],"potential":[153],"proposed":[156],"verified":[159],"various":[161],"numerical":[162],"examples.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}