{"id":"https://openalex.org/W4402680022","doi":"https://doi.org/10.1145/3653644.3664964","title":"Direction Finding Based on HOSVD with Direction-dependent Mutual Coupling","display_name":"Direction Finding Based on HOSVD with Direction-dependent Mutual Coupling","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4402680022","doi":"https://doi.org/10.1145/3653644.3664964"},"language":"en","primary_location":{"id":"doi:10.1145/3653644.3664964","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653644.3664964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning","raw_type":"proceedings-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/A5017600022","display_name":"Dandan Meng","orcid":"https://orcid.org/0009-0008-1100-2470"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dandan Meng","raw_affiliation_strings":["Harbin Engineering University, China"],"raw_orcid":"https://orcid.org/0009-0008-1100-2470","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391971","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-4392-1884"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Harbin Engineering University, China"],"raw_orcid":"https://orcid.org/0000-0002-4392-1884","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037102096","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-8417-6016"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Harbin Engineering University, China"],"raw_orcid":"https://orcid.org/0000-0002-8417-6016","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017600022"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12953819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10860","display_name":"Speech and Audio Processing","score":0.9991000294685364,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.5293755531311035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4945330321788788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3423812985420227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3188783824443817},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12495869398117065}],"concepts":[{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.5293755531311035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4945330321788788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3423812985420227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3188783824443817},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12495869398117065},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653644.3664964","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653644.3664964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1963799790","https://openalex.org/W1980263618","https://openalex.org/W2000539560","https://openalex.org/W2004944703","https://openalex.org/W2007561267","https://openalex.org/W2025824277","https://openalex.org/W2520131786","https://openalex.org/W2569925317","https://openalex.org/W2619364805","https://openalex.org/W2797475427","https://openalex.org/W2983321767","https://openalex.org/W3154982283","https://openalex.org/W4303646573","https://openalex.org/W4321498339","https://openalex.org/W4361284952"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"this":[1,125],"study,":[2],"we":[3,60,87],"tackle":[4],"the":[5,40,46,53,82,122,142],"challenge":[6],"of":[7,42,48,84,117,124],"angle":[8,131],"estimation":[9,132],"in":[10,70,78,100,106,133],"multiple-input":[11],"multiple-output":[12],"(MIMO)":[13],"radar":[14,135],"systems,":[15,136],"which":[16],"are":[17],"impacted":[18],"by":[19,145],"direction-dependent":[20,146],"mutual":[21],"coupling":[22],"(MC)":[23],"effects.":[24,148],"We":[25],"propose":[26],"an":[27],"innovative":[28],"approach":[29],"that":[30,94],"employs":[31],"higher-order":[32],"singular":[33],"value":[34],"decomposition":[35],"(HOSVD)":[36],"to":[37,102,129,141],"estimate":[38],"both":[39],"direction":[41,47],"departure":[43],"(DOD)":[44],"and":[45,73,113],"arrival":[49],"(DOA).":[50],"By":[51],"modeling":[52],"received":[54],"data":[55],"as":[56],"a":[57,114,138],"three-dimensional":[58],"tensor,":[59],"effectively":[61],"capture":[62],"its":[63],"multidimensional":[64],"characteristics.":[65],"This":[66],"new":[67],"algorithm":[68],"excels":[69],"estimating":[71],"DOD":[72],"DOA,":[74],"surpassing":[75],"existing":[76],"methods":[77],"performance.":[79],"To":[80],"validate":[81],"effectiveness":[83],"our":[85,95],"approach,":[86],"conducted":[88],"extensive":[89],"simulations.":[90],"The":[91],"results":[92],"demonstrate":[93],"method":[96,128],"achieves":[97],"superior":[98],"accuracy":[99],"comparison":[101],"traditional":[103],"techniques,":[104],"especially":[105],"scenarios":[107],"with":[108],"low":[109],"signal-to-noise":[110],"ratio":[111],"(SNR)":[112],"limited":[115],"number":[116],"snapshots.":[118],"Our":[119],"findings":[120],"highlight":[121],"potential":[123],"tensor-based":[126],"subspace":[127],"improve":[130],"complex":[134],"providing":[137],"robust":[139],"solution":[140],"challenges":[143],"posed":[144],"MC":[147]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}