{"id":"https://openalex.org/W4416751151","doi":"https://doi.org/10.1109/sips66314.2025.11261298","title":"Model-Based Deep Learning for Multi-Source 2D-DOA Estimation with Uniform Circular Array","display_name":"Model-Based Deep Learning for Multi-Source 2D-DOA Estimation with Uniform Circular Array","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W4416751151","doi":"https://doi.org/10.1109/sips66314.2025.11261298"},"language":null,"primary_location":{"id":"doi:10.1109/sips66314.2025.11261298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips66314.2025.11261298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Signal Processing Systems (SiPS)","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/A5091567308","display_name":"Zejun Yang","orcid":"https://orcid.org/0000-0003-3028-6794"},"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":true,"raw_author_name":"Zejun Yang","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071959276","display_name":"Qing Shen","orcid":"https://orcid.org/0000-0002-8295-0442"},"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":"Qing Shen","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062018594","display_name":"Yuzheng Bao","orcid":null},"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":"Yuzheng Bao","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091567308"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44065533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9355000257492065,"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":0.9355000257492065,"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":0.02449999935925007,"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":0.006500000134110451,"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/interpretability","display_name":"Interpretability","score":0.8823000192642212},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8079000115394592},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7124000191688538},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6021999716758728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4519999921321869},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45019999146461487},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40450000762939453}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8823000192642212},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8079000115394592},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7124000191688538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147000193595886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6021999716758728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46239998936653137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45019999146461487},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40450000762939453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3894999921321869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.351500004529953},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.31279999017715454},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2831000089645386}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sips66314.2025.11261298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips66314.2025.11261298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W567105040","https://openalex.org/W2046039020","https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2168837636","https://openalex.org/W2554305184","https://openalex.org/W2897361856","https://openalex.org/W2899708298","https://openalex.org/W2982083293","https://openalex.org/W2997844335","https://openalex.org/W3104690928","https://openalex.org/W3112170415","https://openalex.org/W3181178196","https://openalex.org/W3200844443","https://openalex.org/W4298127560","https://openalex.org/W4390776208","https://openalex.org/W4396753614","https://openalex.org/W4404293982","https://openalex.org/W4405937074"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,34],"novel":[4],"two-dimensional":[5],"direction-of-arrival":[6],"(2D-DOA)":[7],"estimator":[8,59],"with":[9,46,67],"uniform":[10],"circular":[11],"arrays":[12],"(UCAs)":[13],"based":[14],"on":[15],"model-based":[16],"deep":[17],"learning":[18],"is":[19,51],"presented.":[20],"Inspired":[21],"by":[22],"the":[23,38,43,57],"interpretability":[24],"of":[25,31,42,48,75],"subspace-based":[26,49],"methods":[27],"and":[28,63,72],"improved":[29],"performance":[30],"deep-learning-based":[32],"methods,":[33],"hybrid":[35],"architecture":[36],"integrating":[37],"feature":[39],"extraction":[40],"capability":[41],"deeplearning":[44],"network":[45],"robustness":[47,64],"process":[50],"proposed.":[52],"Simulation":[53],"results":[54],"demonstrate":[55],"that":[56],"proposed":[58],"achieves":[60],"high":[61],"accuracy":[62],"under":[65],"conditions":[66],"low":[68],"signal-to-noise":[69],"ratio":[70],"(SNR)":[71],"limited":[73],"number":[74],"snapshots.":[76]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}
