{"id":"https://openalex.org/W4409362261","doi":"https://doi.org/10.1142/s0218001425580030","title":"Neural Network-Aided Multiple-Symbol Noncoherent Detection Scheme of LDPC Coded MPSK Receiver for Unmanned Aerial Vehicle Communications","display_name":"Neural Network-Aided Multiple-Symbol Noncoherent Detection Scheme of LDPC Coded MPSK Receiver for Unmanned Aerial Vehicle Communications","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409362261","doi":"https://doi.org/10.1142/s0218001425580030"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425580030","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425580030","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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":null,"display_name":"Di Wu","orcid":"https://orcid.org/0009-0003-4009-3803"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]},{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Maintenance and Engineering Department, Civil Aviation Flight University of China, Luoyang College, Luoyang 471001, P. R. China","School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-4009-3803","affiliations":[{"raw_affiliation_string":"Maintenance and Engineering Department, Civil Aviation Flight University of China, Luoyang College, Luoyang 471001, P. R. China","institution_ids":["https://openalex.org/I58995867"]},{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, P. R. China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gege Wei","orcid":"https://orcid.org/0009-0001-9845-6895"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gege Wei","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, P. R. China"],"raw_orcid":"https://orcid.org/0009-0001-9845-6895","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, P. R. China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gaolei Song","orcid":"https://orcid.org/0009-0001-6287-6257"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaolei Song","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, P. R. China"],"raw_orcid":"https://orcid.org/0009-0001-6287-6257","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, P. R. China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yongen Li","orcid":"https://orcid.org/0000-0002-2886-2716"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongen Li","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-2886-2716","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, P. R. China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025337794","display_name":"Gaoyuan Zhang","orcid":"https://orcid.org/0000-0003-3374-4092"},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoyuan Zhang","raw_affiliation_strings":["Science and Technology Innovation Center of Intelligent system, Longmen Laboratory, Luoyang 471000, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3374-4092","affiliations":[{"raw_affiliation_string":"Science and Technology Innovation Center of Intelligent system, Longmen Laboratory, Luoyang 471000, P. R. China","institution_ids":["https://openalex.org/I72565114"]}]}],"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":0,"citation_normalized_percentile":{"value":0.08758427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"08","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9891999959945679,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9891999959945679,"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"}},{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9757000207901001,"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"}},{"id":"https://openalex.org/T10851","display_name":"Optical Wireless Communication Technologies","score":0.9732000231742859,"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/computer-science","display_name":"Computer science","score":0.7267775535583496},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6563146114349365},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.5339167714118958},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44599440693855286},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4416610300540924},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.4400690197944641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36315691471099854},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3126673400402069},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3087242841720581},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12466654181480408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267775535583496},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6563146114349365},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.5339167714118958},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44599440693855286},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4416610300540924},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.4400690197944641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36315691471099854},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3126673400402069},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3087242841720581},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12466654181480408},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425580030","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425580030","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1864439776","https://openalex.org/W2058399474","https://openalex.org/W2100495367","https://openalex.org/W2103559015","https://openalex.org/W2119368976","https://openalex.org/W2123390544","https://openalex.org/W2166985410","https://openalex.org/W2286505166","https://openalex.org/W2475251269","https://openalex.org/W2554014392","https://openalex.org/W2565516711","https://openalex.org/W2566079294","https://openalex.org/W2604938527","https://openalex.org/W2609569447","https://openalex.org/W2736402963","https://openalex.org/W2749105138","https://openalex.org/W2792888413","https://openalex.org/W2886374543","https://openalex.org/W2896556344","https://openalex.org/W2919115771","https://openalex.org/W2979040987","https://openalex.org/W2991205601","https://openalex.org/W3011944543","https://openalex.org/W3025083272","https://openalex.org/W3036302532","https://openalex.org/W3081586139","https://openalex.org/W3129858916","https://openalex.org/W3209426634","https://openalex.org/W3210222726","https://openalex.org/W4210398126","https://openalex.org/W4212860625","https://openalex.org/W4281700424","https://openalex.org/W4281876645","https://openalex.org/W4288056485","https://openalex.org/W4300862826","https://openalex.org/W4306752131","https://openalex.org/W4311167042","https://openalex.org/W4312554056","https://openalex.org/W4319662986","https://openalex.org/W4321108461","https://openalex.org/W4388929361","https://openalex.org/W4389622883","https://openalex.org/W4390494361","https://openalex.org/W4391020012","https://openalex.org/W4393226134","https://openalex.org/W4393372091","https://openalex.org/W4399486947","https://openalex.org/W4401282475","https://openalex.org/W4401615170","https://openalex.org/W4403137001","https://openalex.org/W4404238550"],"related_works":["https://openalex.org/W2903058006","https://openalex.org/W2102374550","https://openalex.org/W2047069332","https://openalex.org/W2352157218","https://openalex.org/W2806845321","https://openalex.org/W4293418541","https://openalex.org/W2393084694","https://openalex.org/W4213381250","https://openalex.org/W4318215366","https://openalex.org/W2336709242"],"abstract_inverted_index":{"Multiple-symbol":[0],"noncoherent":[1],"detection":[2],"(MSND)":[3],"with":[4,43],"the":[5,31,35,38,46,49,54,66,83,86,92,104,112,129,134,148,164,177],"aid":[6],"of":[7,37,48,85,137,180],"Neural":[8],"Networks":[9],"(NNs)":[10],"for":[11,24,60],"low-density":[12],"parity-check":[13],"(LDPC)":[14],"coded":[15],"multiple":[16],"phase":[17,90,93,113,150],"shift":[18],"keying":[19],"(MPSK)":[20],"signals":[21],"is":[22,62,70,94,116,159,170],"studied":[23],"Unmanned":[25],"aerial":[26],"vehicle":[27],"(UAV)":[28],"communications.":[29],"In":[30,72],"traditional":[32,166],"MSND":[33],"scheme,":[34],"number":[36,84],"candidate":[39,87],"sequences":[40,88],"grows":[41],"exponentially":[42],"respect":[44],"to":[45,81,127,163,172],"length":[47],"symbol":[50,68],"observation":[51],"period.":[52],"Implementing":[53],"optimal":[55],"bit":[56,130],"log-likelihood":[57],"ratio":[58],"(LLR)":[59],"decoding":[61,157],"challenging,":[63],"even":[64],"when":[65,111],"observed":[67],"period":[69],"two.":[71],"this":[73],"paper,":[74],"we":[75,120,144],"first":[76],"proposed":[77],"an":[78],"improved":[79,165],"scheme":[80],"reduce":[82],"by":[89],"combination,":[91],"uniformly":[95,146],"quantized":[96],"into":[97,153],"L":[98],"discrete":[99,154],"values.":[100],"We":[101],"find":[102],"that":[103],"performance":[105,181],"requirements":[106],"can":[107],"be":[108],"well":[109],"met":[110],"quantization":[114],"order":[115],"only":[117],"4.":[118],"Then":[119],"utilize":[121],"Back":[122],"Propagation":[123],"neural":[124],"networks":[125],"(BPN)":[126],"compute":[128],"LLR.":[131],"To":[132],"enhance":[133],"training":[135],"efficiency":[136],"our":[138],"NNs":[139],"and":[140],"achieve":[141],"better":[142],"performance,":[143],"also":[145],"quantize":[147],"carrier":[149],"offset":[151],"(CPO)":[152],"states.":[155],"The":[156,168],"convergence":[158],"accelerated":[160],"significantly":[161],"compared":[162],"scheme.":[167],"complexity":[169],"reduced":[171],"a":[173],"certain":[174],"extent":[175],"within":[176],"acceptable":[178],"range":[179],"loss.":[182]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
