{"id":"https://openalex.org/W3196067547","doi":"https://doi.org/10.1109/ssp49050.2021.9513772","title":"Blind Estimation of Sparse Simo Channels: Quadratic Vs. Linear Constraints","display_name":"Blind Estimation of Sparse Simo Channels: Quadratic Vs. Linear Constraints","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3196067547","doi":"https://doi.org/10.1109/ssp49050.2021.9513772","mag":"3196067547"},"language":"en","primary_location":{"id":"doi:10.1109/ssp49050.2021.9513772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp49050.2021.9513772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Statistical Signal Processing Workshop (SSP)","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/A5062391130","display_name":"Mohamed Nait Meziane","orcid":"https://orcid.org/0000-0002-7506-2703"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I4210096782","display_name":"Laboratoire Pluridisciplinaire de Recherche en Ing\u00e9nierie des Syst\u00e8mes, M\u00e9canique et Energ\u00e9tique","ror":"https://ror.org/00sbth994","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12449238","https://openalex.org/I4210096782","https://openalex.org/I4210143826"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Nait-Meziane","raw_affiliation_strings":["PRISME Laboratory, University of Orl\u00e9ans, Orl\u00e9ans, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PRISME Laboratory, University of Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238","https://openalex.org/I4210096782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048280041","display_name":"Karim Abed\u2010Meraim","orcid":"https://orcid.org/0000-0003-2652-1923"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I4210096782","display_name":"Laboratoire Pluridisciplinaire de Recherche en Ing\u00e9nierie des Syst\u00e8mes, M\u00e9canique et Energ\u00e9tique","ror":"https://ror.org/00sbth994","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12449238","https://openalex.org/I4210096782","https://openalex.org/I4210143826"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Karim Abed-Meraim","raw_affiliation_strings":["PRISME Laboratory, University of Orl\u00e9ans, Orl\u00e9ans, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PRISME Laboratory, University of Orl\u00e9ans, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238","https://openalex.org/I4210096782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101481879","display_name":"Zhipeng Zhao","orcid":"https://orcid.org/0000-0002-5546-7762"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Zhipeng Zhao","raw_affiliation_strings":["Mathematical and Algorithmic Sciences Lab, France Research Center, Huawei Technologies Co. Ltd., Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical and Algorithmic Sciences Lab, France Research Center, Huawei Technologies Co. Ltd., Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10698266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9925000071525574,"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/T10860","display_name":"Speech and Audio Processing","score":0.9900000095367432,"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/constraint","display_name":"Constraint (computer-aided design)","score":0.8011617064476013},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6557608842849731},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.6320781111717224},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5996270775794983},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.544768750667572},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.5177856683731079},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4880598783493042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4452376663684845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4398089051246643},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41893160343170166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1910398006439209},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06766220927238464},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.063801109790802}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.8011617064476013},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6557608842849731},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.6320781111717224},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5996270775794983},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.544768750667572},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.5177856683731079},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4880598783493042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4452376663684845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4398089051246643},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41893160343170166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1910398006439209},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06766220927238464},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.063801109790802},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp49050.2021.9513772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp49050.2021.9513772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Statistical Signal Processing Workshop (SSP)","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":13,"referenced_works":["https://openalex.org/W1496688326","https://openalex.org/W2065234731","https://openalex.org/W2092490046","https://openalex.org/W2099738228","https://openalex.org/W2111023808","https://openalex.org/W2121202969","https://openalex.org/W2124348301","https://openalex.org/W2161500056","https://openalex.org/W2169002661","https://openalex.org/W2169755932","https://openalex.org/W2562590574","https://openalex.org/W2611033092","https://openalex.org/W6676615450"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W3036464408","https://openalex.org/W2020990755","https://openalex.org/W2377851227","https://openalex.org/W4293088966","https://openalex.org/W1854082044","https://openalex.org/W2366868484","https://openalex.org/W3169007055","https://openalex.org/W2917463375","https://openalex.org/W2155219672"],"abstract_inverted_index":{"Blind":[0],"multichannel":[1],"estimation":[2,46,112],"is":[3],"classically":[4],"done":[5],"considering":[6],"one":[7],"of":[8,40,55,62,113],"two":[9],"constraints":[10,34,57],"on":[11],"the":[12,38,41,53,59,80,99,106,110],"channel":[13],"coefficients:":[14],"(i)":[15],"a":[16,23,30,71,87],"quadratic":[17,107],"constraint":[18,25,101,108],"(i.e.,":[19,26],"unit-norm),":[20],"or":[21],"(ii)":[22],"linear":[24,100],"fixed":[27],"value":[28],"for":[29,109],"particular":[31,60],"coefficient).":[32],"These":[33],"serve":[35],"to":[36,44,96],"remove":[37],"indeterminacy":[39],"solution":[42],"inherent":[43],"this":[45,49,66],"problem.":[47],"In":[48],"paper,":[50],"we":[51,68,78],"investigate":[52],"adequacy":[54],"both":[56],"in":[58],"case":[61],"sparse":[63,114],"channels.":[64,115],"For":[65],"purpose,":[67],"first":[69],"conduct":[70],"Cram\u00e9r-Rao":[72],"Bound":[73],"(CRB)-based":[74],"performance":[75],"comparison,":[76],"then":[77],"support":[79],"obtained":[81,91],"results":[82,92],"with":[83],"simulation":[84],"experiments":[85],"using":[86],"subspace":[88],"method.":[89],"The":[90],"indicate":[93],"that,":[94],"contrary":[95],"common":[97],"practice,":[98],"should":[102],"be":[103],"favored":[104],"over":[105],"blind":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
