{"id":"https://openalex.org/W2946683228","doi":"https://doi.org/10.1109/jstsp.2019.2918481","title":"Super-Resolution mmWave Channel Estimation for Generalized Spatial Modulation Systems","display_name":"Super-Resolution mmWave Channel Estimation for Generalized Spatial Modulation Systems","publication_year":2019,"publication_date":"2019-05-22","ids":{"openalex":"https://openalex.org/W2946683228","doi":"https://doi.org/10.1109/jstsp.2019.2918481","mag":"2946683228"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2019.2918481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2019.2918481","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-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/A5078671856","display_name":"Hongyun Chu","orcid":"https://orcid.org/0000-0003-1284-4000"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyun Chu","raw_affiliation_strings":["Wireless Energy and Information Transmission Lab, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Wireless Energy and Information Transmission Lab, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665342","display_name":"Le Zheng","orcid":"https://orcid.org/0000-0002-4972-9199"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Zheng","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382658","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0002-2945-9240"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078671856"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":4.1618,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95284993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"13","issue":"6","first_page":"1336","last_page":"1347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9991999864578247,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9988999962806702,"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/estimator","display_name":"Estimator","score":0.696649432182312},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.649043083190918},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6272165775299072},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5990827679634094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5510823130607605},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5508031845092773},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4646346867084503},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.44346460700035095},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4412741959095001},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.34185153245925903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.325039803981781},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2161841094493866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10365703701972961},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10260877013206482}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.696649432182312},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.649043083190918},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6272165775299072},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5990827679634094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5510823130607605},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5508031845092773},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4646346867084503},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.44346460700035095},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4412741959095001},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.34185153245925903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.325039803981781},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2161841094493866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10365703701972961},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10260877013206482},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2019.2918481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2019.2918481","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6554180069","display_name":null,"funder_award_id":"00201510","funder_id":"https://openalex.org/F4320327783","funder_display_name":"Leading Talents Program of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320327783","display_name":"Leading Talents Program of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W624827785","https://openalex.org/W905396345","https://openalex.org/W1529522789","https://openalex.org/W1584244501","https://openalex.org/W1967073510","https://openalex.org/W1999913571","https://openalex.org/W2006579621","https://openalex.org/W2018324106","https://openalex.org/W2028191993","https://openalex.org/W2029950600","https://openalex.org/W2037928204","https://openalex.org/W2045658304","https://openalex.org/W2051459314","https://openalex.org/W2053521124","https://openalex.org/W2067605736","https://openalex.org/W2075313995","https://openalex.org/W2111953900","https://openalex.org/W2119499160","https://openalex.org/W2120549790","https://openalex.org/W2126407450","https://openalex.org/W2128865660","https://openalex.org/W2135046866","https://openalex.org/W2137628444","https://openalex.org/W2143075842","https://openalex.org/W2147276092","https://openalex.org/W2166486216","https://openalex.org/W2236834722","https://openalex.org/W2336770412","https://openalex.org/W2339667469","https://openalex.org/W2405736374","https://openalex.org/W2515529682","https://openalex.org/W2542800228","https://openalex.org/W2561711658","https://openalex.org/W2565293665","https://openalex.org/W2576804663","https://openalex.org/W2587792932","https://openalex.org/W2601846890","https://openalex.org/W2608727628","https://openalex.org/W2614889182","https://openalex.org/W2621353151","https://openalex.org/W2624725691","https://openalex.org/W2633610211","https://openalex.org/W2685099420","https://openalex.org/W2736716203","https://openalex.org/W2753029281","https://openalex.org/W2784834179","https://openalex.org/W2962727817","https://openalex.org/W2963024578","https://openalex.org/W2963170755","https://openalex.org/W2963933750","https://openalex.org/W2964014541","https://openalex.org/W2964179071","https://openalex.org/W3103457637","https://openalex.org/W3105629297","https://openalex.org/W6677765292","https://openalex.org/W6729028016","https://openalex.org/W6733548850","https://openalex.org/W6734797129","https://openalex.org/W6747523122"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2208932071","https://openalex.org/W3153284170","https://openalex.org/W4297883503","https://openalex.org/W3153752017"],"abstract_inverted_index":{"We":[0],"propose":[1],"super-resolution":[2],"multiple-input":[3],"multiple-output":[4],"channel":[5,21,45,71,90],"estimators":[6,46,102],"for":[7],"generalized":[8],"spatial":[9,16],"modulation-based":[10],"millimeter-wave":[11,19],"systems.":[12],"Utilizing":[13],"the":[14,34,50,59,94,99],"inherent":[15],"sparsity":[17,32],"of":[18,37,93],"channels,":[20],"estimation":[22,72,91],"problem":[23,57],"is":[24,103],"formulated":[25,53,70],"using":[26],"atomic":[27],"norm":[28],"minimization":[29],"that":[30],"enhances":[31],"in":[33],"continuous":[35],"angles":[36],"arrival":[38],"and":[39,43,58],"departure.":[40],"Both":[41],"pilot-assisted":[42],"data-aided":[44],"are":[47],"developed,":[48],"with":[49],"former":[51],"one":[52,61],"as":[54,62],"a":[55,63],"convex":[56],"latter":[60],"nonconvex":[64,76],"problem.":[65],"To":[66],"efficiently":[67],"solve":[68],"these":[69],"problems,":[73],"we":[74],"develop":[75],"factorization-based":[77],"conjugate":[78],"gradient":[79],"descent":[80],"methods":[81],"to":[82,98],"restrict":[83],"search":[84],"space":[85],"into":[86],"low-rank":[87],"matrices.":[88],"Superior":[89],"performance":[92],"proposed":[95],"algorithms":[96],"compared":[97],"state-of-the-art":[100],"compressed-sensing-based":[101],"demonstrated":[104],"by":[105],"simulation":[106],"results.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
