{"id":"https://openalex.org/W2989719103","doi":"https://doi.org/10.1109/pimrc.2019.8904306","title":"DOA Tracking Algorithm for the Time-varying Number of Signal Sources","display_name":"DOA Tracking Algorithm for the Time-varying Number of Signal Sources","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989719103","doi":"https://doi.org/10.1109/pimrc.2019.8904306","mag":"2989719103"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2019.8904306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2019.8904306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5101484838","display_name":"Yulong Gao","orcid":"https://orcid.org/0000-0003-2433-4075"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulong Gao","raw_affiliation_strings":["Harbin Institute of Technology,Department of Communication Engineering,Harbin,P.R. China","Department of Communication Engineering, Harbin Institute of Technology, Harbin, P.R. China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Department of Communication Engineering,Harbin,P.R. China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Communication Engineering, Harbin Institute of Technology, Harbin, P.R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419627","display_name":"Yanping Chen","orcid":"https://orcid.org/0000-0001-6548-6070"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Chen","raw_affiliation_strings":["Harbin University of Commerce,School of Computer and Information Engineering,Harbin,P.R. China","School of Computer and Information Engineering, Harbin University of Commerce, Harbin, P.R. China"],"affiliations":[{"raw_affiliation_string":"Harbin University of Commerce,School of Computer and Information Engineering,Harbin,P.R. China","institution_ids":["https://openalex.org/I41208885"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, Harbin, P.R. China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100751566","display_name":"Huan Wang","orcid":"https://orcid.org/0000-0002-1403-5314"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Wang","raw_affiliation_strings":["Harbin Institute of Technology,Department of Communication Engineering,Harbin,P.R. China","Department of Communication Engineering, Harbin Institute of Technology, Harbin, P.R. China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Department of Communication Engineering,Harbin,P.R. China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Communication Engineering, Harbin Institute of Technology, Harbin, P.R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045420802","display_name":"Shaochuan Wu","orcid":"https://orcid.org/0000-0002-2362-3126"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaochuan Wu","raw_affiliation_strings":["Harbin Institute of Technology,Department of Communication Engineering,Harbin,P.R. China","Department of Communication Engineering, Harbin Institute of Technology, Harbin, P.R. China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Department of Communication Engineering,Harbin,P.R. China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Communication Engineering, Harbin Institute of Technology, Harbin, P.R. China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101484838"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.1659,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46802504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9987000226974487,"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":0.9984999895095825,"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/direction-of-arrival","display_name":"Direction of arrival","score":0.7760796546936035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.727695107460022},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6629622578620911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5975390672683716},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5644647479057312},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.520666241645813},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5196227431297302},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5050209164619446},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4766848087310791},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4578477442264557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2943435311317444},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2767390012741089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26121920347213745},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2040632665157318},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12286821007728577},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10376518964767456}],"concepts":[{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.7760796546936035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.727695107460022},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6629622578620911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975390672683716},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5644647479057312},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.520666241645813},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5196227431297302},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5050209164619446},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4766848087310791},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4578477442264557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2943435311317444},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2767390012741089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26121920347213745},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2040632665157318},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12286821007728577},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10376518964767456},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2019.8904306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2019.8904306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1591253575","https://openalex.org/W1997222146","https://openalex.org/W2011822614","https://openalex.org/W2028823365","https://openalex.org/W2030239193","https://openalex.org/W2036645923","https://openalex.org/W2049633694","https://openalex.org/W2099630326","https://openalex.org/W2107493093","https://openalex.org/W2140641933","https://openalex.org/W2144953409","https://openalex.org/W2161631773","https://openalex.org/W2162890410","https://openalex.org/W2294649896"],"related_works":["https://openalex.org/W1514609475","https://openalex.org/W2947806671","https://openalex.org/W2390878257","https://openalex.org/W2144260821","https://openalex.org/W1976188970","https://openalex.org/W2801687921","https://openalex.org/W2132370204","https://openalex.org/W2889559465","https://openalex.org/W2990541822","https://openalex.org/W2372955329"],"abstract_inverted_index":{"At":[0],"present,":[1],"sparse":[2],"Bayesian":[3,65],"learning":[4],"(SBL)":[5],"is":[6,113],"introduced":[7],"into":[8],"direction":[9],"of":[10,21,38,61,71,104,119],"arrival":[11],"(DOA)":[12],"estimation":[13,25,57],"for":[14],"both":[15],"coherent":[16],"and":[17,45,64,98],"incoherent":[18],"signals.":[19],"Instead":[20],"directly":[22],"extending":[23],"DOA":[24,27,36,52,84,90],"to":[26,41,68,81],"tracking,":[28],"we":[29,50,74,88],"construct":[30],"an":[31,117],"array":[32],"data":[33],"model":[34],"including":[35],"change":[37],"adjacent":[39],"time":[40],"decrease":[42],"computational":[43],"complexity":[44],"avoid":[46],"grid":[47],"effect.":[48],"Thus,":[49],"regard":[51],"tracking":[53,91,132],"as":[54],"a":[55],"parameter":[56],"problem":[58],"in":[59],"terms":[60],"Taylor":[62],"expansion":[63],"rule.":[66],"Owing":[67],"the":[69,76,83,94,102,127],"existence":[70],"hidden":[72],"variables,":[73],"adopt":[75],"Expectation":[77],"Maximization":[78],"(EM)":[79],"algorithm":[80,129],"calculate":[82],"change.":[85],"More":[86],"importantly,":[87],"realize":[89],"by":[92],"utilizing":[93],"estimated":[95],"signal":[96,105],"power":[97,100],"noise":[99],"when":[101],"number":[103],"sources":[106],"varies":[107],"with":[108,116],"time.":[109],"The":[110,123],"proposed":[111,128],"method":[112],"numerically":[114],"evaluated":[115],"assumption":[118],"uniform":[120],"linear":[121],"array.":[122],"results":[124],"show":[125],"that":[126],"has":[130],"higher":[131],"accuracy":[133],"over":[134],"conventional":[135],"methods.":[136]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}