{"id":"https://openalex.org/W3015447018","doi":"https://doi.org/10.1109/jiot.2020.2986442","title":"A Novel OFDM Autoencoder Featuring CNN-Based Channel Estimation for Internet of Vessels","display_name":"A Novel OFDM Autoencoder Featuring CNN-Based Channel Estimation for Internet of Vessels","publication_year":2020,"publication_date":"2020-04-08","ids":{"openalex":"https://openalex.org/W3015447018","doi":"https://doi.org/10.1109/jiot.2020.2986442","mag":"3015447018"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.2986442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.2986442","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5088968438","display_name":"Bin Lin","orcid":"https://orcid.org/0000-0002-6125-9839"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Lin","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-6125-9839","affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348138","display_name":"Xudong Wang","orcid":"https://orcid.org/0000-0002-1353-1420"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Wang","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103141038","display_name":"Weihao Yuan","orcid":"https://orcid.org/0000-0003-2885-9928"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihao Yuan","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-2885-9928","affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103068211","display_name":"Nan Wu","orcid":"https://orcid.org/0000-0001-9269-7770"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wu","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-9269-7770","affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":6.0946,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.97006841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":"8","first_page":"7601","last_page":"7611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation 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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/autoencoder","display_name":"Autoencoder","score":0.8537325859069824},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.8444519639015198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7714504599571228},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.6274047493934631},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5922385454177856},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5534757971763611},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4678787589073181},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4622049331665039},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.44762229919433594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44683271646499634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.430433988571167},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3472757339477539},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23492342233657837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10423058271408081},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09339839220046997}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8537325859069824},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.8444519639015198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714504599571228},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6274047493934631},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5922385454177856},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5534757971763611},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4678787589073181},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4622049331665039},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.44762229919433594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44683271646499634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.430433988571167},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3472757339477539},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23492342233657837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10423058271408081},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09339839220046997},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2020.2986442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.2986442","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G4169489119","display_name":null,"funder_award_id":"61971083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5139682657","display_name":"\u6d77\u6d0b\u822a\u884c\u5668\u81ea\u4e3b\u822a\u884c\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"51939001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2097200430","https://openalex.org/W2107691793","https://openalex.org/W2121051729","https://openalex.org/W2130355642","https://openalex.org/W2149587304","https://openalex.org/W2154395274","https://openalex.org/W2194775991","https://openalex.org/W2528169004","https://openalex.org/W2562947506","https://openalex.org/W2617931713","https://openalex.org/W2620303912","https://openalex.org/W2734408173","https://openalex.org/W2761220290","https://openalex.org/W2779699222","https://openalex.org/W2795765720","https://openalex.org/W2890696043","https://openalex.org/W2897042325","https://openalex.org/W2897275976","https://openalex.org/W2899729262","https://openalex.org/W2955408208","https://openalex.org/W2962883549","https://openalex.org/W2963190722","https://openalex.org/W2963446712","https://openalex.org/W2963577893","https://openalex.org/W2963622214","https://openalex.org/W2963836746","https://openalex.org/W2964198392","https://openalex.org/W2971028111","https://openalex.org/W2975782586","https://openalex.org/W2998795925","https://openalex.org/W3099089352","https://openalex.org/W4254905285"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2,71],"a":[3,72],"novel":[4,162],"orthogonal":[5],"frequency-division":[6],"multiplexing":[7],"(OFDM)":[8],"autoencoder":[9,31,163],"featuring":[10],"convolutional":[11,97],"neural":[12,98,156],"networks":[13,99],"(CNNs)-based":[14],"channel":[15,40,63,74,135],"estimation":[16,75],"for":[17,77,173],"marine":[18],"communications":[19],"with":[20,88,154],"complex":[21],"and":[22,122,165],"fast-changing":[23],"environments.":[24],"We":[25],"demonstrate":[26],"that":[27,80,129],"the":[28,46,82,89,117,133,140,146,150,160,166,174],"proposed":[29,134,147,161],"OFDM":[30,48,59,78],"system":[32],"can":[33,138],"be":[34],"generalized":[35],"to":[36,65,101],"work":[37],"under":[38,130],"various":[39],"environments,":[41],"different":[42],"throughputs,":[43],"while":[44],"outperforming":[45],"traditional":[47],"counterparts,":[49],"especially":[50],"when":[51],"working":[52],"at":[53],"high":[54],"throughputs.":[55],"In":[56],"addition,":[57],"since":[58],"systems":[60,79],"require":[61],"accurate":[62],"estimations":[64],"function":[66],"properly,":[67],"this":[68],"treatise":[69],"also":[70],"new":[73],"algorithm":[76],"combine":[81],"power":[83],"of":[84,91,119,176],"deep":[85],"learning":[86],"(DL)":[87],"philosophy":[90],"super-resolution":[92],"reconstruction,":[93],"which":[94],"uses":[95],"dense":[96,120],"(Dense-Nets)":[100],"reconstruct":[102],"low-resolution":[103],"pilot":[104],"information":[105],"images":[106],"into":[107],"high-resolution":[108],"full-channel":[109],"impulse":[110],"responses":[111],"(CIRs).":[112],"The":[113,125],"Dense-Net":[114],"structure":[115],"has":[116],"characteristics":[118],"connections":[121],"feature":[123],"multiplexing.":[124],"simulation":[126],"results":[127],"show":[128],"slow":[131],"fading,":[132,145],"estimator":[136],"(CE)":[137],"estimate":[139],"CIRs":[141],"perfectly.":[142],"Under":[143],"fast":[144],"CE":[148,168],"outperforms":[149],"existing":[151],"learning-based":[152],"algorithms":[153],"fewer":[155],"network":[157],"parameters.":[158],"Therefore,":[159],"scheme":[164],"powerful":[167],"are":[169],"potentially":[170],"attractive":[171],"approaches":[172],"Internet":[175],"Vessels":[177],"(IoV).":[178]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}