{"id":"https://openalex.org/W2964150253","doi":"https://doi.org/10.1109/vtcfall.2013.6692085","title":"Adaptive Sparse Channel Estimation for Time-Variant MIMO Communication Systems","display_name":"Adaptive Sparse Channel Estimation for Time-Variant MIMO Communication Systems","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2964150253","doi":"https://doi.org/10.1109/vtcfall.2013.6692085","mag":"2964150253"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2013.6692085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2013.6692085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 78th Vehicular Technology Conference (VTC Fall)","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/A5027367677","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0003-3888-2881"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Guan Gui","raw_affiliation_strings":["Department of Communication Engineering, Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013760675","display_name":"Abolfazl Mehbodniya","orcid":"https://orcid.org/0000-0002-0945-512X"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Abolfazl Mehbodniya","raw_affiliation_strings":["Department of Communication Engineering, Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011281064","display_name":"Fumiyuki Adachi","orcid":"https://orcid.org/0000-0002-5416-0718"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumiyuki Adachi","raw_affiliation_strings":["Department of Communication Engineering, Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027367677"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":1.7276,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84891814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9994999766349792,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9994000196456909,"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/mimo","display_name":"MIMO","score":0.8009013533592224},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7578362226486206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.622280478477478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5356348156929016},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48818880319595337},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.46080777049064636},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4522963762283325},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.4520376920700073},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.29230284690856934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15015912055969238},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14942166209220886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14700624346733093}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.8009013533592224},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7578362226486206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.622280478477478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5356348156929016},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48818880319595337},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.46080777049064636},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4522963762283325},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.4520376920700073},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.29230284690856934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15015912055969238},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14942166209220886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14700624346733093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2013.6692085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2013.6692085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 78th Vehicular Technology Conference (VTC Fall)","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":27,"referenced_works":["https://openalex.org/W203533378","https://openalex.org/W1989172522","https://openalex.org/W2015418199","https://openalex.org/W2094596480","https://openalex.org/W2101829307","https://openalex.org/W2109515780","https://openalex.org/W2111727965","https://openalex.org/W2120580644","https://openalex.org/W2128513990","https://openalex.org/W2130134073","https://openalex.org/W2134395056","https://openalex.org/W2135428614","https://openalex.org/W2137628444","https://openalex.org/W2145096794","https://openalex.org/W2157303785","https://openalex.org/W2163137659","https://openalex.org/W2168655991","https://openalex.org/W2170881451","https://openalex.org/W2171075378","https://openalex.org/W2199011767","https://openalex.org/W2293909378","https://openalex.org/W2296616510","https://openalex.org/W2895674046","https://openalex.org/W3099579977","https://openalex.org/W3106282754","https://openalex.org/W4250955649","https://openalex.org/W6608218929"],"related_works":["https://openalex.org/W2545343974","https://openalex.org/W4291895924","https://openalex.org/W1783583321","https://openalex.org/W2038397443","https://openalex.org/W2941374357","https://openalex.org/W2112785353","https://openalex.org/W2026727497","https://openalex.org/W4388520214","https://openalex.org/W2164866798","https://openalex.org/W1976502299"],"abstract_inverted_index":{"Channel":[0],"estimation":[1,32,52,58,157,162],"problem":[2],"is":[3,38,143],"one":[4],"of":[5,78,139],"the":[6,19,35,51,92,133,140,153],"key":[7],"technical":[8],"issues":[9],"in":[10,84,96],"time-variant":[11],"multiple-input":[12],"multiple-output":[13],"(MIMO)":[14],"communication":[15],"systems.":[16],"To":[17,90],"estimate":[18],"MIMO":[20,36],"channel,":[21],"least":[22,122],"mean":[23,123],"square":[24],"(LMS)":[25],"algorithm":[26,109,126],"was":[27],"applied":[28],"to":[29,49,75],"adaptive":[30,55],"channel":[31,37,43,57,134,156],"(ACE).":[33],"Since":[34],"often":[39],"described":[40],"by":[41,54,145],"sparse":[42,56,62,155],"model#65292;such":[44],"sparsity":[45,135],"can":[46,131,159],"be":[47],"exploited":[48],"improve":[50],"performance":[53,163],"(ASCE)":[59],"methods":[60,68,130,142,158],"using":[61,105,120],"LMS":[63,107],"algorithms.":[64],"However,":[65],"conventional":[66,165],"ASCE":[67,103,118],"have":[69],"two":[70,93],"main":[71],"drawbacks:":[72],"1)":[73],"sensitive":[74],"random":[76],"scale":[77],"training":[79],"signal":[80],"and":[81],"2)":[82],"unstable":[83],"low":[85],"signal-to-noise":[86],"ratio":[87],"(SNR)":[88],"regime.":[89],"overcome":[91],"harmful":[94],"factors,":[95],"this":[97],"paper,":[98],"we":[99,113],"propose":[100],"a":[101],"novel":[102],"method":[104,119],"normalized":[106,121],"(NLMS)":[108],"(ASCE-NLMS).":[110],"In":[111],"addition,":[112],"also":[114],"proposed":[115,129,141,154],"an":[116],"improved":[117],"fourth":[124],"(NLMF)":[125],"(ASCE-NLMF).":[127],"Two":[128],"exploit":[132],"effectively.":[136],"Also,":[137],"stability":[138],"confirmed":[144],"mathematical":[146],"derivation.":[147],"Computer":[148],"simulation":[149],"results":[150],"show":[151],"that":[152],"achieve":[160],"better":[161],"than":[164],"methods.":[166]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}