{"id":"https://openalex.org/W2902041228","doi":"https://doi.org/10.1109/wcsp.2018.8555940","title":"Neural Network-based Symbol Detection in High-speed OFDM Underwater Acoustic Communication","display_name":"Neural Network-based Symbol Detection in High-speed OFDM Underwater Acoustic Communication","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2902041228","doi":"https://doi.org/10.1109/wcsp.2018.8555940","mag":"2902041228"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2018.8555940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2018.8555940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th 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/A5100325084","display_name":"Zhipeng Chen","orcid":"https://orcid.org/0000-0002-8330-0070"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhipeng Chen","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689912","display_name":"Zhiqiang He","orcid":"https://orcid.org/0000-0002-5010-3118"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang He","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008455605","display_name":"Kai Niu","orcid":"https://orcid.org/0000-0002-8076-1867"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Niu","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073176557","display_name":"Yue Rong","orcid":"https://orcid.org/0000-0002-5831-7479"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yue Rong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Curtin University, Bentley, WA, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Curtin University, Bentley, WA, Australia","institution_ids":["https://openalex.org/I205640436"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100325084"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.2131,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79493479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11698","display_name":"Underwater Acoustics Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7242764234542847},{"id":"https://openalex.org/keywords/underwater-acoustic-communication","display_name":"Underwater acoustic communication","score":0.6563920378684998},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6025670766830444},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.49300119280815125},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48788976669311523},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.475488543510437},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4673706889152527},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45842161774635315},{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.44574064016342163},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.439761221408844},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4206567704677582},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35025686025619507},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.3224185109138489},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.25735747814178467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2516518235206604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242764234542847},{"id":"https://openalex.org/C169111936","wikidata":"https://www.wikidata.org/wiki/Q424098","display_name":"Underwater acoustic communication","level":3,"score":0.6563920378684998},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6025670766830444},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.49300119280815125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48788976669311523},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.475488543510437},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4673706889152527},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45842161774635315},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.44574064016342163},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.439761221408844},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4206567704677582},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35025686025619507},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.3224185109138489},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.25735747814178467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2516518235206604},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2018.8555940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2018.8555940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W169539560","https://openalex.org/W1677182931","https://openalex.org/W2047424115","https://openalex.org/W2094486285","https://openalex.org/W2097606935","https://openalex.org/W2100866919","https://openalex.org/W2116496174","https://openalex.org/W2125322593","https://openalex.org/W2142817701","https://openalex.org/W2149519389","https://openalex.org/W2344203590","https://openalex.org/W2749569821","https://openalex.org/W2794427535","https://openalex.org/W2963190722","https://openalex.org/W6606918967"],"related_works":["https://openalex.org/W2919167754","https://openalex.org/W2076543106","https://openalex.org/W2092197247","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W2523437662","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2766585573"],"abstract_inverted_index":{"Comparing":[0],"with":[1,127,146],"the":[2,38,57,76,83,87,162,165,174,182],"terrestrial":[3],"wireless":[4],"channel,":[5],"underwater":[6],"acoustic":[7],"(UA)":[8],"channel":[9,24,27,73],"is":[10,32,141],"severely":[11],"affected":[12],"by":[13],"strong":[14],"impulsive":[15],"noise,":[16],"time":[17],"variation":[18],"and":[19,26,74,105,115,124,149],"frequency":[20],"variation.":[21],"Except":[22],"for":[23],"estimation":[25,97,123],"equalization,":[28],"symbol":[29,58,129],"detection":[30,59,130],"(SD)":[31],"also":[33],"a":[34,48,154,178],"significant":[35],"part":[36],"in":[37,61,158,161],"procedure":[39],"of":[40,71,78,85,89,98,164],"signal":[41,79],"processing.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"multilayer":[49],"perceptron":[50],"(MLP)":[51],"neural":[52,65],"network-based":[53],"algorithm":[54,176],"to":[55],"manage":[56],"task":[60,77],"UA":[62,72,155],"communication.":[63],"The":[64,102,119,138,170],"network":[66],"can":[67,92,131],"learn":[68],"more":[69],"characters":[70],"perform":[75],"processing":[80],"effectively.":[81],"From":[82],"view":[84],"MLP,":[86],"problem":[88],"constellation":[90],"demodulation":[91],"be":[93],"considered":[94],"as":[95,112],"an":[96],"output":[99],"symbols'":[100],"probability.":[101],"cross":[103],"entropy":[104],"recitified":[106],"linear":[107],"unit":[108],"(ReLU)":[109],"are":[110],"used":[111],"loss":[113],"function":[114,117],"activation":[116],"respectively.":[118],"traditional":[120],"least-squares":[121],"(LS)":[122],"blanking":[125],"combined":[126],"MLP-based":[128],"have":[132],"better":[133,179],"performance":[134,180],"on":[135],"symbol-error-rate":[136],"(SER).":[137],"proposed":[139,175],"model":[140],"evaluated":[142],"through":[143],"numerical":[144],"simulations":[145],"different":[147],"parameters":[148],"real":[150],"data":[151],"collected":[152],"during":[153],"communication":[156],"experiment":[157],"December":[159],"2015":[160],"estuary":[163],"Swan":[166],"River,":[167],"Western":[168],"Australia.":[169],"results":[171],"show":[172],"that":[173],"has":[177],"than":[181],"existing":[183],"method.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}