{"id":"https://openalex.org/W4321636780","doi":"https://doi.org/10.1109/wcsp55476.2022.10039458","title":"Direction of Arrival Estimation Based on Simplified Dictionary Matching Pursuit Algorithm with Rotational Invariance","display_name":"Direction of Arrival Estimation Based on Simplified Dictionary Matching Pursuit Algorithm with Rotational Invariance","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4321636780","doi":"https://doi.org/10.1109/wcsp55476.2022.10039458"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp55476.2022.10039458","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp55476.2022.10039458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5004277573","display_name":"Yiming Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Yiming Zhao","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory","National Mobile Communications Research Laboratory, Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory","institution_ids":["https://openalex.org/I4210090971"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101962019","display_name":"Weiwei Xia","orcid":"https://orcid.org/0000-0001-6069-5375"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Weiwei Xia","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory","National Mobile Communications Research Laboratory, Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory","institution_ids":["https://openalex.org/I4210090971"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032233014","display_name":"Guangyue He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Guangyue He","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory","National Mobile Communications Research Laboratory, Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory","institution_ids":["https://openalex.org/I4210090971"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036359066","display_name":"Feng Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Feng Yan","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory","National Mobile Communications Research Laboratory, Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory","institution_ids":["https://openalex.org/I4210090971"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016630302","display_name":"Lianfeng Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Lianfeng Shen","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory","National Mobile Communications Research Laboratory, Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory","institution_ids":["https://openalex.org/I4210090971"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102853737","display_name":"Yinong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2800943509","display_name":"Aware Global Hospital","ror":"https://ror.org/013171h84","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I2800943509"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yinong Zhang","raw_affiliation_strings":["National Digital Multi-media Chip Technology Laboratory","Nanjing West Aware Co., Ltd"],"affiliations":[{"raw_affiliation_string":"National Digital Multi-media Chip Technology Laboratory","institution_ids":[]},{"raw_affiliation_string":"Nanjing West Aware Co., Ltd","institution_ids":["https://openalex.org/I2800943509"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048625175","display_name":"Yingbin Gao","orcid":"https://orcid.org/0000-0002-5789-2439"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingbin Gao","raw_affiliation_strings":["Nanjing Zgmicro Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Nanjing Zgmicro Co., Ltd","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5004277573"],"corresponding_institution_ids":["https://openalex.org/I4210090971"],"apc_list":null,"apc_paid":null,"fwci":0.1829,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4962703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"625","last_page":"630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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":0.9994000196456909,"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/matching-pursuit","display_name":"Matching pursuit","score":0.8533951044082642},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7535682916641235},{"id":"https://openalex.org/keywords/rotational-invariance","display_name":"Rotational invariance","score":0.6874837279319763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6062459945678711},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5589296817779541},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5238568782806396},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5139248371124268},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.482891321182251},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.44797107577323914},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.41775110363960266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31891316175460815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25265786051750183},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.19816523790359497},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12552586197853088},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10325679183006287}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.8533951044082642},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7535682916641235},{"id":"https://openalex.org/C33098168","wikidata":"https://www.wikidata.org/wiki/Q108537107","display_name":"Rotational invariance","level":2,"score":0.6874837279319763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062459945678711},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5589296817779541},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5238568782806396},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5139248371124268},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.482891321182251},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.44797107577323914},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.41775110363960266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31891316175460815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25265786051750183},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.19816523790359497},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12552586197853088},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10325679183006287},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp55476.2022.10039458","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp55476.2022.10039458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","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/W1972406251","https://openalex.org/W1986439111","https://openalex.org/W1994851389","https://openalex.org/W2033332370","https://openalex.org/W2066218102","https://openalex.org/W2095978736","https://openalex.org/W2103519107","https://openalex.org/W2113638573","https://openalex.org/W2122466069","https://openalex.org/W2127271355","https://openalex.org/W2128131274","https://openalex.org/W2130342534","https://openalex.org/W2136172079","https://openalex.org/W2151693816","https://openalex.org/W3126616787"],"related_works":["https://openalex.org/W2339165443","https://openalex.org/W2005070313","https://openalex.org/W2114845579","https://openalex.org/W2534674033","https://openalex.org/W2598167841","https://openalex.org/W2367552329","https://openalex.org/W4206919906","https://openalex.org/W1970403696","https://openalex.org/W2954258749","https://openalex.org/W2801687921"],"abstract_inverted_index":{"Positioning":[0],"based":[1,30],"on":[2,31],"direction":[3],"of":[4,13,39,60,66,75,84,108,167],"arrival":[5],"(DOA)":[6],"estimation":[7,54,113],"is":[8,152,157],"widely":[9],"used":[10],"in":[11,104,174],"Internet":[12],"Things":[14],"(IoT).":[15],"For":[16,122],"indoor":[17],"positioning":[18,175],"scenarios,":[19],"this":[20],"paper":[21],"proposes":[22],"a":[23],"simplified":[24],"dictionary":[25],"orthogonal":[26,45],"matching":[27,46],"pursuit":[28,47],"algorithm":[29,36,49],"rotational":[32,41,76],"in-variance":[33],"(SDOMPRI).":[34],"The":[35,95,154],"takes":[37],"advantage":[38],"both":[40],"invariant":[42,77],"subspace":[43,78],"and":[44,72,90,118,131,171],"(OMP)":[48],"to":[50,62,79],"obtain":[51],"high":[52,168],"angle":[53,88,112],"accuracy.":[55],"It":[56,163],"exploits":[57],"the":[58,64,73,81,87,92,105,123,147,165],"ability":[59,74],"OMP":[61],"improves":[63],"performance":[65,106],"anti-interference":[67,170],"through":[68],"sparse":[69],"signal":[70],"reconstruction,":[71],"break":[80],"Rayleigh":[82],"limit":[83],"OMP,":[85],"improve":[86],"resolution":[89],"reduce":[91],"computational":[93],"complexity.":[94],"simulation":[96],"results":[97],"show":[98],"that":[99],"SDOMPRI":[100,128],"has":[101],"obvious":[102],"advantages":[103],"comparison":[107],"angular":[109],"separation":[110],"accuracy,":[111,169],"accuracy":[114,124],"under":[115,125],"different":[116,126],"SNR,":[117],"error":[119,136],"cumulative":[120],"distribution.":[121],"snapshots,":[127],"performs":[129],"well":[130],"its":[132],"root":[133],"mean":[134],"square":[135],"(RMSE)":[137],"decreases":[138],"more":[139],"than":[140,160],"45%":[141],"compared":[142],"with":[143],"other":[144,161],"algorithms":[145],"when":[146],"difference":[148],"between":[149],"adjacent":[150],"sources":[151],"large.":[153],"time":[155],"consumption":[156],"also":[158],"lower":[159],"algorithms.":[162],"meets":[164],"requirements":[166],"low":[172],"latency":[173],"scenarios.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}