{"id":"https://openalex.org/W2794386343","doi":"https://doi.org/10.1109/wpmc.2017.8301888","title":"Improved common correlation matrix based SMI algorithm by channel estimation error minimization with LMS approach","display_name":"Improved common correlation matrix based SMI algorithm by channel estimation error minimization with LMS approach","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2794386343","doi":"https://doi.org/10.1109/wpmc.2017.8301888","mag":"2794386343"},"language":"en","primary_location":{"id":"doi:10.1109/wpmc.2017.8301888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpmc.2017.8301888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)","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/A5007889923","display_name":"Takashi Akao","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takashi Akao","raw_affiliation_strings":["Graduate School of Science and Engineering, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055992844","display_name":"Satoshi Taroda","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Taroda","raw_affiliation_strings":["Graduate School of Science and Engineering, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002904170","display_name":"Kazuki Maruta","orcid":"https://orcid.org/0000-0001-9635-3182"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Maruta","raw_affiliation_strings":["Graduate School of Science and Engineering, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108759844","display_name":"Chang-Jun Ahn","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chang-Jun Ahn","raw_affiliation_strings":["Graduate School of Science and Engineering, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007889923"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":null,"apc_paid":null,"fwci":0.3698,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61408956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"63","last_page":"67"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9993000030517578,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/sample-matrix-inversion","display_name":"Sample matrix inversion","score":0.8331297636032104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7315386533737183},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6818887591362},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6191679239273071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5928553342819214},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.5032250285148621},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4729161858558655},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.44333234429359436},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.422794371843338},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.42196932435035706},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.41763001680374146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32190555334091187},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.31416088342666626},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20424285531044006},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.13850021362304688}],"concepts":[{"id":"https://openalex.org/C62403268","wikidata":"https://www.wikidata.org/wiki/Q7410141","display_name":"Sample matrix inversion","level":3,"score":0.8331297636032104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7315386533737183},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6818887591362},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6191679239273071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5928553342819214},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.5032250285148621},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4729161858558655},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.44333234429359436},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.422794371843338},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.42196932435035706},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.41763001680374146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32190555334091187},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.31416088342666626},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20424285531044006},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13850021362304688},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wpmc.2017.8301888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpmc.2017.8301888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Symposium on Wireless Personal Multimedia Communications (WPMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2054692642","https://openalex.org/W2122086235","https://openalex.org/W2128145324","https://openalex.org/W2146176697","https://openalex.org/W2197388619","https://openalex.org/W2532095825","https://openalex.org/W2558372820","https://openalex.org/W2607607618","https://openalex.org/W2619429328","https://openalex.org/W2969258762","https://openalex.org/W6736745700","https://openalex.org/W6738811774"],"related_works":["https://openalex.org/W2904520731","https://openalex.org/W2004201664","https://openalex.org/W2182374414","https://openalex.org/W2364681560","https://openalex.org/W2102632463","https://openalex.org/W2153962244","https://openalex.org/W2107048647","https://openalex.org/W2753444313","https://openalex.org/W3198514027","https://openalex.org/W2183465429","https://openalex.org/W2802138911","https://openalex.org/W3131771220","https://openalex.org/W2359308231","https://openalex.org/W2053058420","https://openalex.org/W2115203387","https://openalex.org/W2803759549","https://openalex.org/W2806670923","https://openalex.org/W2373426501","https://openalex.org/W2558547771","https://openalex.org/W2151836467"],"abstract_inverted_index":{"This":[0],"paper":[1],"improves":[2],"interference":[3,71],"suppression":[4,72],"performance":[5,73,105],"of":[6,38,52,74,85],"Common":[7],"Correlation":[8],"Matrix":[9,13],"(CCM)":[10],"based":[11],"Sample":[12],"Inversion":[14],"(SMI)":[15],"adaptive":[16],"array":[17],"antenna":[18],"algorithm.":[19,77,111],"Assuming":[20],"multicarrier":[21,47],"systems":[22],"such":[23],"as":[24],"orthogonal":[25],"frequency":[26],"division":[27],"multiplexing":[28],"(OFDM),":[29],"CCM":[30],"is":[31,55,81],"effective":[32],"means":[33],"to":[34],"achieve":[35],"good":[36],"convergence":[37],"covariance":[39],"matrix":[40],"by":[41,107],"utilizing":[42],"time-domain":[43],"signal":[44],"samples":[45],"before":[46],"conversion.":[48],"However,":[49],"the":[50,70,75,99],"number":[51],"pilot":[53],"symbols":[54],"still":[56],"limited":[57],"and":[58],"receiver":[59],"noise":[60],"causes":[61],"poor":[62],"channel":[63,86],"identification.":[64],"Such":[65],"inaccurate":[66],"CSI":[67],"estimation":[68,87],"deteriorates":[69],"CCM-SMI":[76,110],"The":[78],"key":[79],"proposal":[80],"introducing":[82],"a":[83,108],"minimization":[84],"error":[88],"using":[89],"least":[90],"mean":[91],"square":[92],"(LMS)":[93],"approach.":[94],"Computer":[95],"simulation":[96],"results":[97],"verify":[98],"improved":[100],"Bit":[101],"Error":[102],"Rate":[103],"(BER)":[104],"provided":[106],"modified":[109]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}