{"id":"https://openalex.org/W2995911095","doi":"https://doi.org/10.1109/wcsp.2019.8928015","title":"Supervised Learning-Based Semi-Blind Detection for Generalized Space Shift Keying MIMO Systems","display_name":"Supervised Learning-Based Semi-Blind Detection for Generalized Space Shift Keying MIMO Systems","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995911095","doi":"https://doi.org/10.1109/wcsp.2019.8928015","mag":"2995911095"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2019.8928015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2019.8928015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th 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/A5000214108","display_name":"Chengcheng Xu","orcid":"https://orcid.org/0000-0003-2417-434X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengcheng Xu","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043457090","display_name":"Shuaishuai Guo","orcid":"https://orcid.org/0000-0003-0885-7327"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaishuai Guo","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375622","display_name":"Haixia Zhang","orcid":"https://orcid.org/0000-0001-5081-7287"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Zhang","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045797640","display_name":"Chuanting Zhang","orcid":"https://orcid.org/0000-0002-6685-4071"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanting Zhang","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001894801","display_name":"Cong Liang","orcid":"https://orcid.org/0000-0003-0634-056X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Liang","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000214108"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.1192,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49013045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9984999895095825,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9984999895095825,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6822831630706787},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6527837514877319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6204740405082703},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5860428810119629},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5487138628959656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5055506229400635},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.473102331161499},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46700987219810486},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4665479362010956},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4596398174762726},{"id":"https://openalex.org/keywords/keying","display_name":"Keying","score":0.4447588324546814},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4212362766265869},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.42078879475593567},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4136645197868347},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1885083019733429},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16420957446098328},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09768486022949219},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09170019626617432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822831630706787},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6527837514877319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6204740405082703},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5860428810119629},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5487138628959656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5055506229400635},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.473102331161499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46700987219810486},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4665479362010956},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4596398174762726},{"id":"https://openalex.org/C2776542216","wikidata":"https://www.wikidata.org/wiki/Q6398306","display_name":"Keying","level":2,"score":0.4447588324546814},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4212362766265869},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42078879475593567},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4136645197868347},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1885083019733429},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16420957446098328},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09768486022949219},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09170019626617432},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2019.8928015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2019.8928015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","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":23,"referenced_works":["https://openalex.org/W1971733720","https://openalex.org/W1974125189","https://openalex.org/W1985712316","https://openalex.org/W2030747319","https://openalex.org/W2067605736","https://openalex.org/W2113540758","https://openalex.org/W2125669974","https://openalex.org/W2126734312","https://openalex.org/W2129766733","https://openalex.org/W2133475491","https://openalex.org/W2153635508","https://openalex.org/W2246989874","https://openalex.org/W2295559644","https://openalex.org/W2336710304","https://openalex.org/W2477563955","https://openalex.org/W2543606931","https://openalex.org/W2615667137","https://openalex.org/W2618746189","https://openalex.org/W2740534707","https://openalex.org/W2909034145","https://openalex.org/W2914100738","https://openalex.org/W2963190722","https://openalex.org/W4256217385"],"related_works":["https://openalex.org/W1586607209","https://openalex.org/W2006671292","https://openalex.org/W122912556","https://openalex.org/W4312414840","https://openalex.org/W2146407312","https://openalex.org/W2621411691","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2328989934","https://openalex.org/W2348322200"],"abstract_inverted_index":{"In":[0],"this":[1,107],"paper,":[2],"we":[3],"investigate":[4],"supervised":[5,108],"learning-based":[6],"semi-blind":[7,43],"detection":[8,44,126],"(SLSBD)schemes":[9],"for":[10],"generalized":[11],"space":[12],"shift":[13],"keying":[14],"(GSSK)multiple-input":[15],"multiple-output":[16],"(MI-MO)systems,":[17],"which":[18],"recover":[19],"the":[20,30,36,42,52,59,70,77,82,95,117,137],"transmitted":[21,90],"symbols":[22],"without":[23],"explicitly":[24],"estimating":[25],"channel":[26,144],"state":[27],"information":[28],"(CSI)at":[29],"receiver.":[31],"The":[32,73,111],"core":[33],"idea":[34],"of":[35,54,84,130,136],"SLSBD":[37],"schemes":[38,127],"is":[39,66],"to":[40,80],"interpret":[41],"problem":[45,50],"as":[46],"a":[47,63],"multiclass":[48],"classification":[49,97],"in":[51],"context":[53],"machine":[55,104],"learning.":[56],"Specifically,":[57],"during":[58],"model":[60,79],"training":[61,71,119],"phase,":[62],"learning":[64,109],"system":[65],"trained":[67,78],"online":[68],"using":[69],"sequence.":[72],"receiver":[74],"then":[75],"uses":[76],"determine":[81],"category":[83],"each":[85],"received":[86],"signal,":[87],"thus":[88],"achieving":[89,131],"signal":[91],"recovery.":[92],"We":[93],"exploit":[94],"classical":[96],"algorithms,":[98],"k-nearest":[99],"neighbors":[100],"(KNN)and":[101],"support":[102],"vector":[103],"(SVM)to":[105],"solve":[106],"problem.":[110],"simulation":[112],"results":[113],"show":[114],"that,":[115],"with":[116],"same":[118],"sequence":[120],"length,":[121],"both":[122],"KNN":[123],"and":[124,142],"SVM-based":[125],"are":[128],"capable":[129],"better":[132],"performance":[133],"than":[134],"that":[135],"improved":[138],"K-means":[139],"clustering":[140],"(IKMC)detection":[141],"conventional":[143],"estimation-based":[145],"matched":[146],"filter":[147],"(MF)detection,":[148],"while":[149],"they":[150],"maintain":[151],"low":[152],"complexity.":[153]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
