{"id":"https://openalex.org/W4414270361","doi":"https://doi.org/10.1109/lsp.2025.3611713","title":"Wideband DOA Estimation Based on Stochastic Maximum Likelihood Estimation With Flat Spectra Assumption","display_name":"Wideband DOA Estimation Based on Stochastic Maximum Likelihood Estimation With Flat Spectra Assumption","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414270361","doi":"https://doi.org/10.1109/lsp.2025.3611713"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3611713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3611713","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing 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":null,"display_name":"Lei Liu","orcid":"https://orcid.org/0009-0006-8421-1965"},"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":"Lei Liu","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071957359","display_name":"Shiwei Ren","orcid":"https://orcid.org/0000-0003-3846-7573"},"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":"Shiwei Ren","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766995","display_name":"Xiangnan Li","orcid":"https://orcid.org/0000-0001-9808-6153"},"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":"Xiangnan Li","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021199783","display_name":"Guiyu Wang","orcid":"https://orcid.org/0000-0002-6440-2901"},"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":"Guiyu Wang","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082594912","display_name":"Weijiang Wang","orcid":"https://orcid.org/0000-0001-8950-9337"},"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":"Weijiang Wang","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"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":0.24008491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"3909","last_page":"3913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9739999771118164,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.7404999732971191},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7135000228881836},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6162999868392944},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5414999723434448},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.49709999561309814},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4284999966621399},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4205000102519989},{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.40700000524520874},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4004000127315521}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.7404999732971191},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7135000228881836},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5414999723434448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.515999972820282},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.49709999561309814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4523000121116638},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4339999854564667},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4284999966621399},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.40700000524520874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4036000072956085},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4004000127315521},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3605000078678131},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.3188999891281128},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3172999918460846},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.31349998712539673},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3059000074863434},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.295199990272522},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C31441030","wikidata":"https://www.wikidata.org/wiki/Q4291882","display_name":"Least absolute deviations","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.2542000114917755},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3611713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3611713","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4424037053","display_name":null,"funder_award_id":"62201039","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1979671221","https://openalex.org/W2046039020","https://openalex.org/W2046855287","https://openalex.org/W2075815282","https://openalex.org/W2089158381","https://openalex.org/W2131090450","https://openalex.org/W2133503769","https://openalex.org/W2136172079","https://openalex.org/W2508393166","https://openalex.org/W2554305184","https://openalex.org/W2561126956","https://openalex.org/W2615392485","https://openalex.org/W2783180185","https://openalex.org/W2892658054","https://openalex.org/W2912522929","https://openalex.org/W2917065813","https://openalex.org/W2971239382","https://openalex.org/W3035482590","https://openalex.org/W3169405625","https://openalex.org/W3177690609","https://openalex.org/W4221131217","https://openalex.org/W4244393449","https://openalex.org/W4246784033","https://openalex.org/W4249513058","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W4322705817","https://openalex.org/W4323914160","https://openalex.org/W4379116751","https://openalex.org/W4390776208","https://openalex.org/W4394585863","https://openalex.org/W4401413357"],"related_works":[],"abstract_inverted_index":{"This":[0,30],"paper":[1],"introduces":[2],"a":[3,45,74],"novel":[4],"method":[5,70],"for":[6,33],"wideband":[7],"direction-of-arrival":[8],"estimation":[9],"within":[10],"the":[11,40,56,69,82,86,93,99,108],"stochastic":[12],"maximum":[13],"likelihood":[14],"framework.":[15],"The":[16,48],"flat":[17,57],"power":[18],"spectra":[19,58],"assumption":[20,31],"is":[21,113],"leveraged,":[22],"which":[23,102],"implies":[24],"consistent":[25],"signal":[26],"statistics":[27],"across":[28],"subbands.":[29],"allows":[32],"convex":[34],"constraints":[35],"to":[36,44,53,73,78],"be":[37],"imposed":[38],"on":[39],"covariance":[41],"matrices,":[42],"leading":[43],"simplified":[46],"optimization.":[47],"proposed":[49,100],"approach":[50],"demonstrates":[51,103],"robustness":[52],"deviations":[54],"from":[55],"assumption,":[59],"achieving":[60],"asymptotically":[61],"unbiased":[62],"estimates":[63],"at":[64],"high":[65],"signal-to-noise":[66],"ratios.":[67],"Additionally,":[68],"guarantees":[71],"convergence":[72],"local":[75],"minimum,":[76],"thanks":[77],"its":[79],"formulation":[80],"using":[81],"majorization-minimization":[83],"principle":[84],"and":[85,95],"avoidance":[87],"of":[88,98,110],"non-convex":[89],"constraints.":[90],"Simulations":[91],"validate":[92],"effectiveness":[94],"stable":[96],"performance":[97,105],"method,":[101],"satisfactory":[104],"even":[106],"when":[107],"number":[109],"data":[111],"snapshots":[112],"limited.":[114]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}