{"id":"https://openalex.org/W4390502485","doi":"https://doi.org/10.3390/s24010260","title":"Enhanced Coprime Array Structure and DOA Estimation Algorithm for Coherent Sources","display_name":"Enhanced Coprime Array Structure and DOA Estimation Algorithm for Coherent Sources","publication_year":2024,"publication_date":"2024-01-02","ids":{"openalex":"https://openalex.org/W4390502485","doi":"https://doi.org/10.3390/s24010260","pmid":"https://pubmed.ncbi.nlm.nih.gov/38203122"},"language":"en","primary_location":{"id":"doi:10.3390/s24010260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010260","pdf_url":"https://www.mdpi.com/1424-8220/24/1/260/pdf?version=1704180687","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/1/260/pdf?version=1704180687","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046524348","display_name":"Xiaolei Han","orcid":"https://orcid.org/0000-0002-8491-7363"},"institutions":[{"id":"https://openalex.org/I153806059","display_name":"Shanghai Business School","ror":"https://ror.org/05kf5z787","country_code":"CN","type":"education","lineage":["https://openalex.org/I153806059"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolei Han","raw_affiliation_strings":["Institute of IoT Engineering, Shanghai Business School, Shanghai 201400, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of IoT Engineering, Shanghai Business School, Shanghai 201400, China","institution_ids":["https://openalex.org/I153806059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447052","display_name":"Xiaofei Zhang","orcid":"https://orcid.org/0000-0003-1464-1987"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Zhang","raw_affiliation_strings":["Electronic Information College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046524348"],"corresponding_institution_ids":["https://openalex.org/I153806059"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.6458,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60451282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"24","issue":"1","first_page":"260","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9966999888420105,"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/coprime-integers","display_name":"Coprime integers","score":0.9148950576782227},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7909303903579712},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.700467586517334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6955235004425049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5563317537307739},{"id":"https://openalex.org/keywords/multiple-signal-classification","display_name":"Multiple signal classification","score":0.48759689927101135},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.47675973176956177},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4686804413795471},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4673970341682434},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.46218714118003845},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.45952683687210083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1464734971523285},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10380828380584717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09950557351112366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07393929362297058}],"concepts":[{"id":"https://openalex.org/C23230895","wikidata":"https://www.wikidata.org/wiki/Q104752","display_name":"Coprime integers","level":2,"score":0.9148950576782227},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7909303903579712},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.700467586517334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6955235004425049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5563317537307739},{"id":"https://openalex.org/C206118826","wikidata":"https://www.wikidata.org/wiki/Q3841682","display_name":"Multiple signal classification","level":3,"score":0.48759689927101135},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.47675973176956177},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4686804413795471},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4673970341682434},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.46218714118003845},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.45952683687210083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1464734971523285},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10380828380584717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09950557351112366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07393929362297058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24010260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010260","pdf_url":"https://www.mdpi.com/1424-8220/24/1/260/pdf?version=1704180687","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38203122","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38203122","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10781235","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10781235","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10781235/pdf/sensors-24-00260.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:45cf50c2abb0488b93d16cb92b4e3a5e","is_oa":true,"landing_page_url":"https://doaj.org/article/45cf50c2abb0488b93d16cb92b4e3a5e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 1, p 260 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24010260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010260","pdf_url":"https://www.mdpi.com/1424-8220/24/1/260/pdf?version=1704180687","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390502485.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1490288977","https://openalex.org/W1885676202","https://openalex.org/W1974015496","https://openalex.org/W1980818586","https://openalex.org/W1994477821","https://openalex.org/W2003157621","https://openalex.org/W2071197225","https://openalex.org/W2077602393","https://openalex.org/W2080115549","https://openalex.org/W2098174516","https://openalex.org/W2106369199","https://openalex.org/W2113084775","https://openalex.org/W2113638573","https://openalex.org/W2116635101","https://openalex.org/W2128131274","https://openalex.org/W2130393104","https://openalex.org/W2130693290","https://openalex.org/W2136274821","https://openalex.org/W2140147143","https://openalex.org/W2151517138","https://openalex.org/W2162654459","https://openalex.org/W2164390589","https://openalex.org/W2170097251","https://openalex.org/W2290170958","https://openalex.org/W2647026091","https://openalex.org/W2892433162","https://openalex.org/W2893104611","https://openalex.org/W2953879762","https://openalex.org/W3022667867","https://openalex.org/W3098352114","https://openalex.org/W3166155336","https://openalex.org/W3168846907","https://openalex.org/W4322627630","https://openalex.org/W4385543265"],"related_works":["https://openalex.org/W4316658506","https://openalex.org/W2076554046","https://openalex.org/W2736071613","https://openalex.org/W2462138637","https://openalex.org/W2367624491","https://openalex.org/W2207431673","https://openalex.org/W334600925","https://openalex.org/W2372955329","https://openalex.org/W1997538508","https://openalex.org/W2888890149"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"new":[4],"enhanced":[5,52],"coprime":[6,23,53,67],"array":[7,54,63,78,82],"for":[8,38,97],"direction":[9],"of":[10,18,42,62,76,94,111],"arrival":[11],"(DOA)":[12],"estimation.":[13],"Coprime":[14],"arrays":[15],"are":[16,34],"capable":[17],"estimating":[19,39],"the":[20,31,40,60,66,74,77,95,102,107,112,120,128,138],"DOA":[21,41,96,133],"using":[22,137],"properties":[24],"and":[25,79,126],"outperforming":[26],"uniform":[27],"linear":[28],"arrays.":[29],"However,":[30],"associated":[32],"algorithms":[33],"not":[35],"directly":[36],"applicable":[37],"coherent":[43,98],"sources.":[44,99],"To":[45],"overcome":[46],"this":[47,56],"limitation,":[48],"we":[49],"propose":[50],"an":[51],"in":[55,65],"paper.":[57],"By":[58],"increasing":[59],"number":[61],"sensors":[64,83],"array,":[68],"it":[69],"is":[70,135],"feasible":[71],"to":[72,87,106,122,148],"enlarge":[73],"aperture":[75],"these":[80],"additional":[81],"can":[84,117],"be":[85],"utilized":[86],"achieve":[88],"spatial":[89,103,114],"smoothing,":[90],"thus":[91],"enabling":[92],"estimation":[93,130,134],"Additionally,":[100],"applying":[101],"smoothing":[104,115],"technique":[105],"signal":[108],"subspace,":[109],"instead":[110],"conventional":[113],"method,":[116],"further":[118],"improve":[119],"ability":[121],"reduce":[123],"noise":[124],"interference":[125],"enhance":[127],"overall":[129],"result.":[131],"Finally,":[132],"accomplished":[136],"MUSIC":[139],"algorithm.":[140],"The":[141],"simulation":[142],"results":[143],"demonstrate":[144],"improved":[145],"performance":[146],"compared":[147],"traditional":[149],"algorithms,":[150],"confirming":[151],"its":[152],"feasibility.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}